How multiple causes combine: independence constraints on causal inference
نویسندگان
چکیده
منابع مشابه
How multiple causes combine: independence constraints on causal inference
According to the causal power view, two core constraints-that causes occur independently (i.e., no confounding) and influence their effects independently-serve as boundary conditions for causal induction. This study investigated how violations of these constraints modulate uncertainty about the existence and strength of a causal relationship. Participants were presented with pairs of candidate ...
متن کاملCausal Independence for Knowledge Acquisition and Inference
I introduce a temporal belief-network rep resentation of causal independence that a knowledge engineer can use to elicit proba bilistic models. Like the current, atempo ral belief-network representation of causal in dependence, the new representation makes knowledge acquisition tractable. Unlike the atemproal representation, however, the tem poral representation can simplify inference, and...
متن کاملExploiting Causal Independence in Bayesian Network Inference
A new method is proposed for exploiting causal independencies in exact Bayesian network inference. A Bayesian network can be viewed as representing a factorization of a joint probability into the multiplication of a set of conditional probabilities. We present a notion of causal independence that enables one to further factorize the conditional probabilities into a combination of even smaller f...
متن کاملMultiple Imputation for Causal Inference
The potential outcome framework for causal inference is fundamentally a missing data problem with a special, the so-called file-matching, pattern of missing data. Given the large body of literature on various methods for handling missing data and associated software, it will be useful to use such methods to facilitate causal inference for routine applications. This article uses the sequential r...
متن کاملInference with Causal Independence in the CPSC Network
This paper reports experiments with the causal independence inference algorithm pro posed by Zhang and Poole (1994b) on the CPSC network created by Pradhan et a/ (1994). It is found that the algorithm is able to answer 420 of the 422 possible zero observation queries, 94 of 100 randomly gen erated five-observation queries, 87 of 100 randomly generated ten-observation queries, and 69 of 100 r...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Frontiers in Psychology
سال: 2015
ISSN: 1664-1078
DOI: 10.3389/fpsyg.2015.01135