An Abstract Semantics for Inference of Types and Effects in a Multi-Tier Web Language Letterio Galletta Giorgio Levi

Source URL: rap.dsi.unifi.it

15: Regression Introduction | Regression Model | Inference About the Slope Introduction As with correlation, regression is used to analyze the relation between two continuous (scale) variables. However, regression is bet

Source URL: www.sjsu.edu

Phase Transitions in Semidefinite Relaxations Adel Javanmard∗, Andrea Montanari† and Federico Ricci-Tersenghi‡ January 4, 2016 Abstract Statistical inference problems arising within signal processing, data mining,

Source URL: web.stanford.edu

EE512A – Advanced Inference in Graphical Models — Fall Quarter, Lecture 2 — http://j.ee.washington.edu/~bilmes/classes/ee512a_fall_2014/ Prof. Jeff Bilmes University of Washington, Seattle

Source URL: j.ee.washington.edu

Scalable Variational Inference in Log-supermodular Models Josip Djolonga Andreas Krause Department of Computer Science, ETH Zurich

Source URL: las.inf.ethz.ch

A comparison of variational and Markov Chain Monte Carlo methods for inference in partially observed stochastic dynamic systems. Yuan Shen Neural Computing Research Group Aston University

Source URL: www0.cs.ucl.ac.uk

Connecting input filtering and selection in language evolution Luke Maurits, Tom Griffiths Department of Psychology, University of California, Berkeley

Source URL: www.luke.maurits.id.au

• Statistics
• Anthropology
• Cultural evolution
• Evolution
• Bayesian inference
• Sociocultural evolution
• Science
• Statistical theory

FACTORIE: Efficient Probabilistic Programming for Relational Factor Graphs via Imperative Declarations of Structure, Inference and Learning Andrew McCallum, Khashayar Rohanemanesh, Michael Wick, Karl Schultz, Sameer Sing

Source URL: ciir-publications.cs.umass.edu

spectralNullDistrib_final_long.dvi

Source URL: select.cs.cmu.edu

• Statistics
• Nonparametric statistics
• Statistical tests
• Statistical inference
• Means
• Multivariate statistics
• Principal component analysis
• Resampling
• Z-test
• Bootstrapping
• Positive-definite kernel
• KolmogorovSmirnov test

Deconfounding Hypothesis Generation and Evaluation in Bayesian Models Elizabeth Baraff Bonawitz (liz ) Department of Psychology, 5427 Tolman Hall Berkeley, CAUSA Thomas L. Griffiths (tom griffiths@b

Source URL: ccdlab.rutgers.edu

• Statistical inference
• Philosophy of science
• Reasoning
• Statistical theory
• Machine learning
• Bayesian inference
• Inductive reasoning
• Bayesian network
• Bayesian probability
• Statistical hypothesis testing
• Inductive bias
• Inference