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Sampling theory
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101	Succinct Sampling from Discrete Distributions ∗ † Karl Bringmann Add to Reading List Source URL: people.mpi-inf.mpg.de Language: English - Date: 2016-01-03 06:46:15 Arrays Computing Computer science Analysis of algorithms Probabilistic complexity theory Randomized algorithm Entropy Computer programming Bit array Dynamic connectivity Locality-sensitive hashing
102	Administrative Notes StatisticsLecture 12 •  Homework 3 due in recitation on Friday, Feb. 26 Introduction to Inference Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2016-02-24 11:48:07 Summary statistics Probability distributions Sampling Statistical theory Sampling distribution Sample size determination Binomial distribution Population proportion Standard deviation Central limit theorem Variance Mode
103	Exact Sampling with Integer Linear Programs and Random Perturbations Carolyn Kim Ashish Sabharwal Stefano Ermon Add to Reading List Source URL: ai2-website.s3.amazonaws.com Language: English - Date: 2016-05-10 13:04:43 Mathematics Logic Abstraction Metalogic Model theory Structure Pattern language Indexed grammar
104	The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty Ron Alterovitz Thierry Sim´eon Add to Reading List Source URL: goldberg.berkeley.edu Language: English - Date: 2007-06-02 12:59:23 Probability theory Mathematical analysis Mathematics Markov processes Robot control Classical mechanics Markov models Dynamic programming Motion planning Stochastic roadmap simulation Probabilistic roadmap Markov decision process
105	What are you trying to tell me? A Bayesian model of how toddlers can simultaneously infer property extension and sampling processes Hyowon Gweon, Joshua B. Tenenbaum, and Laura E. Schulz (hyora, jbt, ) Dep Add to Reading List Source URL: sll.stanford.edu Language: English - Date: 2014-08-12 22:52:25 Statistics Knowledge Statistical theory Statistical inference Hypothesis testing Sampling techniques Survey methodology Sampling Bayesian inference Causality Bayesian network Simple random sample
106	A Simple Sequential Algorithm for Approximating Bayesian Inference Elizabeth Bonawitz, Stephanie Denison, Annie Chen, Alison Gopnik, & Thomas L. Griffiths {liz b, smdeniso, c annie, gopnik, tom griffiths}@berkeley.edu De Add to Reading List Source URL: ccdlab.rutgers.edu Language: English - Date: 2015-03-24 11:58:24 Statistics Sampling techniques Statistical mechanics Stochastic simulation Statistical theory Statistical inference Bayesian inference Bayesian network Particle filter Bayesian probability Monte Carlo method Bayesian statistics
107	Forum Probabilistic models, learning algorithms, and response variability: sampling in cognitive development Elizabeth Bonawitz1, Stephanie Denison2, Thomas L. Griffiths3, and Alison Gopnik3 Add to Reading List Source URL: ccdlab.rutgers.edu Language: English - Date: 2015-09-25 18:39:53 Statistical inference Statistical theory Philosophy of science Sampling techniques Psychometrics Bayesian inference Statistics Monte Carlo method Statistical hypothesis testing Sampling Causality Bayesian network
108	Administrative Notes StatisticsLecture 27 •  Final Exam is Tuesday, May 10th (3-5pm) •  Covers Chapters 1-8 and 10 in textbook Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2016-04-25 15:34:36 Statistics Regression analysis Parametric statistics Probability distributions Statistical theory Measurement Central limit theorem Normal distribution Sampling distribution T-statistic Errors and residuals Linear regression
109	Administrative Notes StatisticsLecture 16 •  Homework 4 is due in recitation on Friday, March 18 Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2016-03-16 14:58:28 Statistical theory Measurement Normal distribution Statistical inference Regression analysis Standard error Standard deviation Errors and residuals T-statistic Sample size determination Central limit theorem Sampling distribution
110	Nonparametric spatial models for clustered ordered periodontal data Dipankar Bandyopadhyay∗ Department of Biostatistics Virginia Commonwealth University, Richmond, VA, USA Add to Reading List Source URL: www.carloalberto.org Language: English - Date: 2016-04-19 07:03:23 Statistics Regression analysis Probability distributions Estimation theory Stable distributions Normal distribution Probit model Linear regression Nonparametric statistics Multivariate normal distribution Gibbs sampling Probit

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