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CAUSAL NOTATION

  • Causal notation
  • Notation to express cause and effect

    other symbols. Causal notation is notation used to express cause and effect. In nature and human societies, many phenomena have causal relationships where

    Causal notation

    Causal_notation

  • Causality
  • How one process influences another

    ordinary language, as well as explicit in the language of scientific causal notation. In English studies of Aristotelian philosophy, the word "cause" is

    Causality

    Causality

  • Causal model
  • Conceptual model in philosophy of science

    [page needed] Causal models often employ formal causal notation, such as structural equation modeling or causal directed acyclic graphs (DAGs), to describe

    Causal model

    Causal model

    Causal_model

  • Causal inference
  • Branch of statistics

    language of scientific causal notation. Causal inference is said to provide the evidence of causality theorized by causal reasoning. Causal inference is widely

    Causal inference

    Causal_inference

  • Conceptual model
  • Theoretical framework

    [page needed] Causal models often employ formal causal notation, such as structural equation modeling or causal directed acyclic graphs (DAGs), to describe

    Conceptual model

    Conceptual_model

  • Bayesian network
  • Probabilistic graphical representation of causal relationships

    directed acyclic graph (DAG). While it is one of several forms of causal notation, causal networks are special cases of Bayesian networks. Bayesian networks

    Bayesian network

    Bayesian_network

  • Causality conditions
  • Classifications of Lorentzian manifolds

    Notation: p ≪ q {\displaystyle p\ll q} denotes the chronological relation. p ≺ q {\displaystyle p\prec q} denotes the causal relation. (See causal structure

    Causality conditions

    Causality_conditions

  • Correlation does not imply causation
  • Refutation of a logical fallacy

    language of scientific causal notation. Causal inference is said to provide the evidence of causality theorized by causal reasoning. Causal inference is widely

    Correlation does not imply causation

    Correlation does not imply causation

    Correlation_does_not_imply_causation

  • Confounding
  • Bias in causal inference

    statistical adjustment, or causal diagrams) are required to distinguish causal effects from spurious associations. Several notation systems and formal frameworks

    Confounding

    Confounding

    Confounding

  • Internal validity
  • Extent to which a piece of evidence supports a claim about cause and effect

    qualitative or quantitative forms of causal notation. Inferences are said to possess internal validity if a causal relationship between two variables is

    Internal validity

    Internal_validity

  • Rubin causal model
  • Method of statistical analysis

    The Rubin causal model (RCM), also known as the Neyman–Rubin causal model, is an approach to the statistical analysis of cause and effect based on the

    Rubin causal model

    Rubin_causal_model

  • Why–because analysis
  • Method for accident analysis to determine causal relationships

    why–because graph (WBG), a type of causal notation used to represent interdependencies within a system and depict causal relations between factors of an

    Why–because analysis

    Why–because analysis

    Why–because_analysis

  • Causal graph
  • Directed graph that models causal relationships between variables

    using causal equality notation. As communication devices, the graphs provide formal and transparent representation of the causal assumptions that researchers

    Causal graph

    Causal_graph

  • Juggling club
  • Equipment used by jugglers

    jugglers and more intricate patterns. A notation for describing club passing patterns, called causal notation, was developed by Martin Frost of the Stanford

    Juggling club

    Juggling club

    Juggling_club

  • Ambiguity
  • Type of uncertainty of meaning where several interpretations are possible

    are sometimes omitted; this is also potentially ambiguous notation. For example, in the notation T m n k {\displaystyle T_{mnk}} , the reader can only infer

    Ambiguity

    Ambiguity

    Ambiguity

  • Propagator
  • Function in quantum field theory showing probability amplitudes of moving particles

    appropriate to the particle, and are, therefore, often called (causal) Green's functions (called "causal" to distinguish it from the elliptic Laplacian Green's

    Propagator

    Propagator

    Propagator

  • Structural equation modeling
  • Form of causal modeling that fit networks of constructs to data

    observed). Additional causal connections link those latent variables to observed variables whose values appear in a data set. The causal connections are represented

    Structural equation modeling

    Structural equation modeling

    Structural_equation_modeling

  • D'Alembert operator
  • Second-order differential operator

    French mathematician and physicist Jean le Rond d'Alembert, with the box notation being introduced by French mathematician Henri Poincaré in his lectures

    D'Alembert operator

    D'Alembert_operator

  • General relativity
  • Theory of gravitation as curved spacetime

    defined by the set of light cones (see image). The light-cones define a causal structure: for each event A, there is a set of events that can, in principle

    General relativity

    General relativity

    General_relativity

  • List of things named after Roger Penrose
  • Newman–Penrose formalism, a set of notation for general relativity Penrose diagram, a two-dimensional diagram capturing the causal relations between different

    List of things named after Roger Penrose

    List_of_things_named_after_Roger_Penrose

  • Juggling notation
  • Juggling notation is the written depiction of concepts and practices in juggling. Toss juggling patterns have a reputation for being "easier done than

    Juggling notation

    Juggling notation

    Juggling_notation

  • Gaussian blur
  • Type of image blur produced by a Gaussian function

    temporal kernel referred to as the time-causal limit kernel, which possesses similar properties in a time-causal situation (non-creation of new structures

    Gaussian blur

    Gaussian blur

    Gaussian_blur

  • Wiener filter
  • Signal processing algorithm

    the filter must be physically realizable/causal (this requirement can be dropped, resulting in a non-causal solution) Performance criterion: minimum mean-square

    Wiener filter

    Wiener_filter

  • Regression analysis
  • Set of statistical processes for estimating the relationships among variables

    between two variables has a causal interpretation. The latter is especially important when researchers hope to estimate causal relationships using observational

    Regression analysis

    Regression analysis

    Regression_analysis

  • Granger causality
  • Statistical hypothesis test for forecasting

    latent confounding effects and does not capture instantaneous and non-linear causal relationships, though several extensions have been proposed to address these

    Granger causality

    Granger causality

    Granger_causality

  • Correlation
  • Statistical relationship

    presence of a correlation is not sufficient to infer the presence of a causal relationship, and this is often stated as "correlation does not imply causation"

    Correlation

    Correlation

    Correlation

  • Z-transform
  • Linear transform from the time domain to the frequency domain

    evaluate the Z-transform of the unit impulse response of a discrete-time causal system. An important example of the unilateral Z-transform is the probability-generating

    Z-transform

    Z-transform

  • Mendelian randomization
  • Statistical method in genetic epidemiology

    abbreviated to MR) is a method using measured variation in genes to examine the causal effect of an exposure on an outcome. Under key assumptions (see below),

    Mendelian randomization

    Mendelian randomization

    Mendelian_randomization

  • Riemann curvature tensor
  • Tensor field in Riemannian geometry

    noncommutativity of the second covariant derivative. In abstract index notation, R d c a b Z c = ∇ a ∇ b Z d − ∇ b ∇ a Z d . {\displaystyle R^{d}{}_{cab}Z^{c}=\nabla

    Riemann curvature tensor

    Riemann_curvature_tensor

  • Metric tensor (general relativity)
  • Tensor that describes the 4D geometry of spacetime

    fundamental object of study. The metric captures all the geometric and causal structure of spacetime, being used to define notions such as time, distance

    Metric tensor (general relativity)

    Metric_tensor_(general_relativity)

  • Thompson sampling
  • Type of heuristic technique

    o_{1:T}),} where the "hat"-notation a ^ t {\displaystyle {\hat {a}}_{t}} denotes the fact that a t {\displaystyle a_{t}} is a causal intervention (see Causality)

    Thompson sampling

    Thompson sampling

    Thompson_sampling

  • Mediation (statistics)
  • Statistical model

    variable). In this framework, the relationship is not conceived as a direct causal link between the independent and the dependent variable, but rather as one

    Mediation (statistics)

    Mediation (statistics)

    Mediation_(statistics)

  • Ignorability
  • observables, or no omitted variable bias. This idea is part of the Neyman-Rubin Causal Inference Model, developed by Jerzy Neyman in the 1920s, and later extended

    Ignorability

    Ignorability

  • List of Laplace transforms
  • the table that involve a time delay τ are required to be causal (meaning that τ > 0). A causal system is a system where the impulse response h(t) is zero

    List of Laplace transforms

    List_of_Laplace_transforms

  • Issue-based information system
  • Argumentation scheme

    design rationale, where IBIS notation is one of a number of different kinds of rationale notation. The simplicity of IBIS notation, and its focus on questions

    Issue-based information system

    Issue-based information system

    Issue-based_information_system

  • Dirac sea
  • Theoretical model of the vacuum

    Dirac's original concept of a sea of particles was revived in the theory of causal fermion systems, a recent proposal for a unified physical theory. In this

    Dirac sea

    Dirac sea

    Dirac_sea

  • Bond graph
  • Graphical representation of energy flows in physical systems

    graph itself using the causal stroke notation. A causal bond graph can be put into state-space form if: every bond has a causal stroke and every component

    Bond graph

    Bond_graph

  • Metric modulation
  • Musical technique

    Evanston, IL: Northwestern University, School of Music; Sydney, Australia: Causal productions. ISBN 1-876346-50-7 (CD-ROM). Cunningham, Michael G. (2007)

    Metric modulation

    Metric modulation

    Metric_modulation

  • De Broglie–Bohm theory
  • Interpretation of quantum mechanics

    theory, also known as the pilot wave theory, Bohmian mechanics, and the causal interpretation, is an interpretation of quantum mechanics that postulates

    De Broglie–Bohm theory

    De_Broglie–Bohm_theory

  • Rotational–vibrational coupling
  • When the angular frequency of a system matches its natural vibrational frequency

    barrel must occur, as described by Newton's third law, it is not a causal agent. The causal mechanism is in the energy conversions: the explosion of the gunpowder

    Rotational–vibrational coupling

    Rotational–vibrational coupling

    Rotational–vibrational_coupling

  • Transformer (deep learning)
  • Algorithm for modelling sequential data

    modules, called "causal masking": M causal = [ 0 − ∞ − ∞ … − ∞ 0 0 − ∞ … − ∞ 0 0 0 … − ∞ ⋮ ⋮ ⋮ ⋱ ⋮ 0 0 0 … 0 ] {\displaystyle M_{\text{causal}}={\begin{bmatrix}0&-\infty

    Transformer (deep learning)

    Transformer (deep learning)

    Transformer_(deep_learning)

  • Controlling for a variable
  • Binning data according to measured values of the variable

    In causal models, controlling for a variable means binning data according to measured values of the variable. This is typically done so that the variable

    Controlling for a variable

    Controlling_for_a_variable

  • Multiscale Green's function
  • Generalized version of classical Green's function

    called CGFMD (Causal Green's Function Molecular Dynamics) is the temporal equivalent of the MSGF and is based upon the use of causal or retarded Green's

    Multiscale Green's function

    Multiscale_Green's_function

  • Partially ordered set
  • Mathematical set with an ordering

    non-strict partial order ≤ {\displaystyle \leq } , we may uniquely extend our notation to define four partial order relations ≤ , {\displaystyle \leq ,} < , {\displaystyle

    Partially ordered set

    Partially ordered set

    Partially_ordered_set

  • Directed information
  • capacity of networks with in-block memory, gambling with causal side information, compression with causal side information, real-time control communication settings

    Directed information

    Directed_information

  • Interaction (statistics)
  • Causal or moderating relationship between statistical variables

    a situation in which the effect of one causal variable on an outcome depends on the state of a second causal variable (that is, when effects of the two

    Interaction (statistics)

    Interaction (statistics)

    Interaction_(statistics)

  • Language
  • Structured system of communication

    Davidson Grice Ryle Strawson Quine Putnam Lewis Searle Watzlawick Theories Causal theory of reference Contrast theory of meaning Contrastivism Conventionalism

    Language

    Language

    Language

  • Formal ethics
  • Formal logical system

    necessary or possible, causal modal operators are separately defined to express that something is causally necessary or possible. The causal modal operators

    Formal ethics

    Formal_ethics

  • PagedAttention
  • Attention algorithm for efficient large language model serving

    prompts with shared prefixes. For a query token i {\displaystyle i} in causal self-attention, the standard attention output can be written as a i j =

    PagedAttention

    PagedAttention

  • Tensor decomposition
  • Process in algebra

    decomposition; block term decomposition This section introduces basic notations and operations that are widely used in the field. A multi-way graph with

    Tensor decomposition

    Tensor_decomposition

  • Juggling
  • Circus skill manipulating objects

    complicated causal diagrams only track the props that are in the air, and assumes that a juggler has a prop in each hand. Numeric notation systems are

    Juggling

    Juggling

    Juggling

  • Dependent and independent variables
  • Concept in mathematical modeling, statistical modeling and experimental sciences

    "regression") Gujarati, Damodar N.; Porter, Dawn C. (2009). "Terminology and Notation". Basic Econometrics (Fifth international ed.). New York: McGraw-Hill.

    Dependent and independent variables

    Dependent and independent variables

    Dependent_and_independent_variables

  • History of mathematics
  • origin of discoveries in mathematics and the mathematical methods and notation of the past. Before the modern age and worldwide spread of knowledge, written

    History of mathematics

    History of mathematics

    History_of_mathematics

  • Index
  • Topics referred to by the same term

    (crater), a Moon crater In semiotics, an unintentional and non-arbitrary sign causally related to what it indicates, for example the smoke from a fire or the

    Index

    Index

  • The Large Scale Structure of Space-Time
  • 1973 treatise by Hawking and Ellis

    was based on previous work by Hawking, Penrose, and Robert Geroch on the causal structure of spacetime. Hawking co-wrote the book with Ellis, while he was

    The Large Scale Structure of Space-Time

    The_Large_Scale_Structure_of_Space-Time

  • General Relativity (book)
  • 1984 graduate textbook by Robert M. Wald

    covers more advanced topics such as causal structure, and quantum effects. The book uses the abstract index notation for tensors. It covers spinors, the

    General Relativity (book)

    General_Relativity_(book)

  • Gottlob Frege
  • German philosopher, logician, and mathematician (1848–1925)

    "Appendix A. Begriffsschrift in Modern Notation: (1) to (51)" and "Appendix B. Begriffsschrift in Modern Notation: (52) to (68)." Die Grundlagen der Arithmetik:

    Gottlob Frege

    Gottlob Frege

    Gottlob_Frege

  • Two-sided Laplace transform
  • Mathematical operation

    _{-\infty }^{0}e^{-st}f(t)\,dt} exist. There seems to be no generally accepted notation for the two-sided transform; the B {\displaystyle {\mathcal {B}}} used

    Two-sided Laplace transform

    Two-sided_Laplace_transform

  • Interpretations of quantum mechanics
  • Area of physical and philosophical debate

    Classical mechanics Old quantum theory Interference Fundamentals Bra–ket notation Complementarity Entanglement Energy level Hamiltonian Measurement Nonlocality

    Interpretations of quantum mechanics

    Interpretations_of_quantum_mechanics

  • Laplace transform
  • Integral transform useful in probability theory, physics, and engineering

    the table that involve a time delay τ are required to be causal (meaning that τ > 0). A causal system is a system where the impulse response h(t) is zero

    Laplace transform

    Laplace_transform

  • Deductive-nomological model
  • Scientific methodology

    starting conditions plus general laws. Still, the DN model formally permitted causally irrelevant factors. Also, derivability from observations and laws sometimes

    Deductive-nomological model

    Deductive-nomological_model

  • Difference in differences
  • Statistical technique to use observational data for causal analysis

    trends, but when carefully designed, they provide policymakers with robust causal estimates using observational data. Difference-in-differences has also been

    Difference in differences

    Difference_in_differences

  • Linear time-invariant system
  • Mathematical model which is both linear and time-invariant

    and the system is said to be causal. To understand why the convolution produces the output of an LTI system, let the notation { x ( u − τ ) ;   u } {\textstyle

    Linear time-invariant system

    Linear time-invariant system

    Linear_time-invariant_system

  • R (programming language)
  • Programming language for statistics

    lists packages that are relevant for specific topics; sample topics include causal inference, finance, genetics, high-performance computing, machine learning

    R (programming language)

    R (programming language)

    R_(programming_language)

  • Tensor (machine learning)
  • Concept in machine learning

    problem of disentangling the causal factors based on second order or higher order statistics associated with each causal factor. Tensor (multilinear)

    Tensor (machine learning)

    Tensor_(machine_learning)

  • Simultaneous equations model
  • Type of statistical model

    an equation where a researcher is interested in the causal effect of X on Y while holding the causal effect of Y on X constant, or when the researcher knows

    Simultaneous equations model

    Simultaneous_equations_model

  • Glossary of probability and statistics
  • to manage the problem of pseudoreplication. Box–Jenkins method box plot causal study A statistical study in which the objective is to measure the effect

    Glossary of probability and statistics

    Glossary_of_probability_and_statistics

  • Jan Łukasiewicz
  • Polish logician and philosopher (1878–1956)

    1956) was a Polish logician, and philosopher who is best known for Polish notation and Łukasiewicz logic. His work centred on philosophical logic, mathematical

    Jan Łukasiewicz

    Jan Łukasiewicz

    Jan_Łukasiewicz

  • Quantum nonlocality
  • Deviations from local realism

    W.; Fritz, T (2019). "The Inflation Technique for Causal Inference with Latent Variables". Causal Inference. 7 (2) 20170020. arXiv:1609.00672. doi:10

    Quantum nonlocality

    Quantum_nonlocality

  • Arithmetic
  • Branch of elementary mathematics

    existence: they exist as abstract objects outside spacetime and without causal powers. This view is rejected by intuitionists, who claim that mathematical

    Arithmetic

    Arithmetic

    Arithmetic

  • Linear phase
  • Filter whose phase response is proportional to frequency

    filter twice, the second time with time reversed. (For a causal filter, this second pass is anti-causal, so using this approach in real time has not been shown

    Linear phase

    Linear_phase

  • Material conditional
  • Logical connective

    U+21D2 ⇒ RIGHTWARDS DOUBLE ARROW respectively). In the prefixed Polish notation, conditionals are notated as C p q {\displaystyle Cpq} . In a conditional

    Material conditional

    Material conditional

    Material_conditional

  • Conformance checking
  • Class of process mining techniques

    behavior that is never observed in the log). Footprint matrices display the causal dependency of two activities in an event log, e.g., if in an event log,

    Conformance checking

    Conformance checking

    Conformance_checking

  • Control system
  • System that manages the behavior of other systems

    microcontrollers or more specialized programmable logic controllers (PLCs). The notation of ladder logic is still in use as a programming method for PLCs. Logic

    Control system

    Control system

    Control_system

  • Tone (linguistics)
  • Use of pitch to distinguish lexical or grammatical meaning

    (1): 70–72. doi:10.1093/jole/lzv014. Roberts, Seán G. (2018). "Robust, Causal, and Incremental Approaches to Investigating Linguistic Adaptation". Frontiers

    Tone (linguistics)

    Tone_(linguistics)

  • Genome-wide association study
  • Study of genetic variants in different individuals

    associated with a disease, but they cannot on their own specify which genes are causal. The first successful GWAS published in 2002 studied myocardial infarction

    Genome-wide association study

    Genome-wide association study

    Genome-wide_association_study

  • Glossary of logic
  • framework for various areas of mathematics. causal logic A branch of logic concerned with the study of causal relationships, including the representation

    Glossary of logic

    Glossary_of_logic

  • Mixed graph
  • Graph with directed and undirected edges

    chain graph. The directed edges of these graphs are used to indicate a causal connection between two events, in which the outcome of the first event influences

    Mixed graph

    Mixed_graph

  • Wave function
  • Mathematical description of quantum state

    Online copy (English) de Broglie, L. (1960). Non-linear Wave Mechanics: a Causal Interpretation. Amsterdam: Elsevier – via Internet Archive. Byron, F. W

    Wave function

    Wave function

    Wave_function

  • Graphical model
  • Probabilistic model

    constructed and utilized effectively. Applications of graphical models include causal inference, information extraction, speech recognition, computer vision,

    Graphical model

    Graphical_model

  • Particle horizon
  • Distance measurement used in cosmology

    constituents and in particular there can be countably infinitely many. With this notation we have: The particle horizon  d p  exists if and only if  N > 2 {\displaystyle

    Particle horizon

    Particle_horizon

  • Principle of locality
  • Physical principle that only immediate surroundings can influence an object

    influence. The special theory of relativity limits the maximum speed at which causal influence can travel to the speed of light, c {\displaystyle c} . Therefore

    Principle of locality

    Principle_of_locality

  • Forecasting
  • Making predictions with available data

    football season than during the off season. Several informal methods used in causal forecasting do not rely solely on the output of mathematical algorithms

    Forecasting

    Forecasting

  • Continuous phase modulation
  • Method for modulation of data

    not contain any discontinuities. If the message signal is assumed to be causal, then the limits on the integral change to a lower bound of zero and a higher

    Continuous phase modulation

    Continuous_phase_modulation

  • Pornography in India
  • academic studies analyzing domestic crime data have not found a direct causal link indicating pornography as a significant driver of violence. Correspondingly

    Pornography in India

    Pornography_in_India

  • Light-cone coordinates
  • Coordinate system in special relativity

    Lorentzian signature. Instead of the standard coordinate system (using Einstein notation) d s 2 = − d t 2 + δ i j d x i d x j {\displaystyle ds^{2}=-dt^{2}+\delta

    Light-cone coordinates

    Light-cone_coordinates

  • Pattern recognition (psychology)
  • Cognitive process

    electrical stimulation. Researchers agree this demonstrates a convincing causal link between this neural structure and the human ability to recognize faces

    Pattern recognition (psychology)

    Pattern_recognition_(psychology)

  • Fourier transform
  • Mathematical transform that expresses a function of time as a function of frequency

    {\widehat {f}}} are referred to as a Fourier transform pair.  A common notation for designating transform pairs is: f ( x )   ⟷ F   f ^ ( ξ ) . {\displaystyle

    Fourier transform

    Fourier transform

    Fourier_transform

  • Kalman filter
  • Algorithm that estimates unknowns from a series of measurements over time

    smoother is a time-varying state-space generalization of the optimal non-causal Wiener filter. The smoother calculations are done in two passes. The forward

    Kalman filter

    Kalman filter

    Kalman_filter

  • Speed of light
  • Speed of electromagnetic waves

    December 2008. See, for example: Chiao, R. Y. (1993). "Superluminal (but causal) propagation of wave packets in transparent media with inverted atomic populations"

    Speed of light

    Speed of light

    Speed_of_light

  • Consistency model
  • Rules that guarantee predictable computer memory operation

    Causal consistency defined by Hutto and Ahamad, 1990, is a weakening of the sequential consistency model by categorizing events into those causally related

    Consistency model

    Consistency_model

  • Finite impulse response
  • Type of filter in signal processing

    filters can be discrete-time or continuous-time, and digital or analog. For a causal discrete-time FIR filter of order N, each value of the output sequence is

    Finite impulse response

    Finite_impulse_response

  • OK
  • English word

    no documentary evidence that any of these African-language words had any causal link with its use in the American press. The West African hypothesis had

    OK

    OK

    OK

  • Fairness (machine learning)
  • Measurement of algorithmic bias

    framework to deal with causal analysis of fairness. They suggest the use of a Standard Fairness Model, consisting of a causal graph with 4 types of variables:

    Fairness (machine learning)

    Fairness_(machine_learning)

  • Supergravity
  • Modern theory of gravitation that combines supersymmetry and general relativity

    connection. The following discussion will be in superspace notation, as opposed to the component notation, which isn't manifestly covariant under SUSY. There

    Supergravity

    Supergravity

    Supergravity

  • Minkowski spacetime
  • Mathematical description of spacetime used in relativity

    located in causal future (also called the absolute future) in the figure) and past-directed timelike vectors whose first component is negative (causal past

    Minkowski spacetime

    Minkowski spacetime

    Minkowski_spacetime

  • Parameterized post-Newtonian formalism
  • Approximation method for general relativity in physics

    formalism has been a valuable tool in tests of general relativity. In the notation of Will (1971), Ni (1972) and Misner et al. (1973) they have the following

    Parameterized post-Newtonian formalism

    Parameterized_post-Newtonian_formalism

  • Time series
  • Sequence of data points over time

    time-series is driven by some "forcing" time-series (which may not have a causal effect on the observed series): the distinction from the multivariate case

    Time series

    Time series

    Time_series

  • SS Edmund Fitzgerald
  • Great Lakes freighter sunk in Lake Superior

    hypotheses regarding Edmund Fitzgerald's sinking, but they differ on the other causal factors. In 2005, NOAA and the NWS ran a computer simulation, including

    SS Edmund Fitzgerald

    SS Edmund Fitzgerald

    SS_Edmund_Fitzgerald

  • Analogy
  • Form of figurative language

    M.T. (1997). "What makes an analogy difficult? The effects of order and causal structure in analogical mapping". Journal of Experimental Psychology: Learning

    Analogy

    Analogy

    Analogy

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