Philosophical Problems of Statistical Inference. Learning from R. A. Fisher.

1980 ◽  
Vol 143 (2) ◽  
pp. 195
Author(s):  
F. H. C. Marriott ◽  
T. Seidenfeld
Keyword(s):  
Statistical Inference ◽  
Inference Learning

scholarly journals Statistical Inference, Learning and Models in Big Data

2016 ◽  
Vol 84 (3) ◽  
pp. 371-389 ◽  
Author(s):  
Beate Franke ◽  
Jean‐François Plante ◽  
Ribana Roscher ◽  
En‐shiun Annie Lee ◽  
Cathal Smyth ◽  
...  
Keyword(s):  
Big Data ◽  
Statistical Inference ◽  
Inference Learning

scholarly journals Bias Adaptive Statistical Inference Learning Agents for Learning from Human Feedback

2021 ◽  
Vol 34 (1) ◽  
Author(s):  
Jonathan I Watson
Keyword(s):  
Normal Distribution ◽  
Statistical Inference ◽  
Feedback Signal ◽  
Unknown Parameters ◽  
Learning Behaviors ◽  
Learning Agents ◽  
Novel Technique ◽  
Inference Learning

We present a novel technique for learning behaviors from ahuman provided feedback signal that is distorted by system-atic bias. Our technique, which we refer to as BASIL, modelsthe feedback signal as being separable into a heuristic evalu-ation of the utility of an action and a bias value that is drawnfrom a parametric distribution probabilistically, where thedistribution is defined by unknown parameters. We presentthe general form of the technique as well as a specific algo-rithm for integrating the technique with the TAMER algo-rithm for bias values drawn from a normal distribution. Wetest our algorithm against standard TAMER in the domain ofTetris using a synthetic oracle that provides feedback undervarying levels of distortion. We find our algorithm can learnvery quickly under bias distortions that entirely stymie thelearning of classic TAMER.

Statistical Inference for Measurement Models

1970 ◽  
Vol 15 (6) ◽  
pp. 402, 404-405
Author(s):  
ROBERT E. DEAR
Keyword(s):  
Statistical Inference ◽  
Measurement Models
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