Conditioning as disintegration

Conditional probability distributions seem to have a bad reputation when it comes to rigorous treatment of conditioning. Technical arguments are published as manipulations of Radon–Nikodym derivatives, although we all secretly perform heuristic calculations using elementary definitions of conditional probabilities. In print, measurability and averaging properties substitute for intuitive ideas about random variables behaving like constants given particular conditioning information.

[1]  J. Doob Stochastic processes with an integral-valued parameter , 1938 .

[2]  L. J. Savage,et al.  Application of the Radon-Nikodym Theorem to the Theory of Sufficient Statistics , 1949 .

[3]  J. Doob Stochastic processes , 1953 .

[4]  D. Blackwell On a Class of Probability Spaces , 1956 .

[5]  Kommission hos Ejnar Munksgaard Det Kongelige Danske Videnskabernes Selskab : Matematisk-fysiske Meddelelser , 1959 .

[6]  E. Lehmann Testing Statistical Hypotheses , 1960 .

[7]  M. Stone,et al.  The Posterior $t$ Distribution , 1963 .

[8]  Michel Loève,et al.  Probability Theory I , 1977 .

[9]  Compact Systems of Sets , 1966 .

[10]  K. Parthasarathy,et al.  Probability measures on metric spaces , 1967 .

[11]  Alfréd Rényi,et al.  Foundations of Probability , 1971 .

[12]  M. Stone,et al.  Necessary and Sufficient Condition for Convergence in Probability to Invariant Posterior Distributions , 1970 .

[13]  A. P. Dawid,et al.  Un-Bayesian implications of improper Bayes inference in routine statistical problems , 1972 .

[14]  Expectation Consistency and Generalized Bayes Inference , 1973 .

[15]  M. Stone,et al.  Marginalization Paradoxes in Bayesian and Structural Inference , 1973 .

[16]  Tue Tjur Conditional probability distributions , 1975 .

[17]  Jan K. Pachl,et al.  Desintegration and compact measures. , 1978 .

[18]  P. Meyer,et al.  Probabilities and potential C , 1978 .

[19]  J. Kingman Uses of Exchangeability , 1978 .

[20]  An alternate development of conditioning , 1979 .

[21]  P. Pfanzagl,et al.  CONDITIONAL DISTRIBUTIONS AS DERIVATIVES , 1979 .

[22]  A. Dawid Conditional Independence for Statistical Operations , 1980 .

[23]  H. Akaike The Interpretation of Improper Prior Distributions as Limits of Data Dependent Proper Prior Distributions , 1980 .

[24]  Sheldon M. Ross,et al.  Stochastic Processes , 2018, Gauge Integral Structures for Stochastic Calculus and Quantum Electrodynamics.

[25]  O. Kallenberg Random Measures , 1983 .

[26]  New York Dover,et al.  ON THE CONVERGENCE PROPERTIES OF THE EM ALGORITHM , 1983 .

[27]  Donald Geman,et al.  Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[28]  D. Lindley Bayes theory , 1984 .

[29]  R. Durrett Brownian motion and martingales in analysis , 1984 .

[30]  L. L. Cam,et al.  Asymptotic Methods In Statistical Decision Theory , 1986 .

[31]  D. Rubin,et al.  Statistical Analysis with Missing Data. , 1989 .

[32]  J. Berger Statistical Decision Theory and Bayesian Analysis , 1988 .

[33]  O. Barndorff-Nielsen,et al.  Decomposition and Invariance of Measures, and Statistical Transformation Models , 1989 .

[34]  Adrian F. M. Smith,et al.  Sampling-Based Approaches to Calculating Marginal Densities , 1990 .

[35]  D. Donoho,et al.  Geometrizing Rates of Convergence, III , 1991 .

[36]  M. L. Eaton A Statistical Diptych: Admissible Inferences--Recurrence of Symmetric Markov Chains , 1992 .

[37]  J. Hoffmann-jorgensen,et al.  Probability with a View Toward Statistics , 1994 .

[38]  O. Gaans Probability measures on metric spaces , 2022 .