A Theory of Statistical Inference for Matching Methods in Causal Research
Sign Up to like & getrecommendations! Published in 2018 at "Political Analysis"
DOI: 10.1017/pan.2018.29
Abstract: Researchers who generate data often optimize efficiency and robustness by choosing stratified over simple random sampling designs. Yet, all theories of inference proposed to justify matching methods are based on simple random sampling. This is… read more here.
Keywords: inference matching; matching methods; theory; theory statistical ... See more keywords
When Shannon and Khinchin meet Shore and Johnson: Equivalence of information theory and statistical inference axiomatics.
Sign Up to like & getrecommendations! Published in 2020 at "Physical review. E"
DOI: 10.1103/physreve.101.042126
Abstract: We propose a unified framework for both Shannon-Khinchin and Shore-Johnson axiomatic systems. We do it by rephrasing Shannon-Khinchine axioms in terms of generalized arithmetics of Kolmogorov and Nagumo. We prove that the two axiomatic schemes… read more here.
Keywords: shannon khinchin; statistical inference; information theory; theory statistical ... See more keywords
Shell Theory: A Statistical Model of Reality.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2021.3084598
Abstract: Machine learning's grand ambition is the mathematical modeling of reality. The recent years have seen major advances using deep-learned techniques that model reality implicitly; however, corresponding advances in explicit mathematical models have been noticeably lacking.… read more here.
Keywords: theory statistical; statistical model; machine; shell theory ... See more keywords