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01:07:40 The Deterrent Effects of DNA Databases_ Evidence… The Deterrent Effects of DNA Databases_ Evidence from the US and Denmark	The Deterrent Effects of DNA Databases_ Evidence from the US and Denmark database dna crime effect lot offenders denmark probability databases question law behavior evidence crimes likelihood reason effects property enforcement police From Louis DiPietro 0 plays
01:11:33 Prosem with Seth Sanders Session 2 Prosem with Seth Sanders Session 2	Prosem with Seth Sanders Session 2 Zoom Recording ID: 97954002948 UUID: Srxtmoy5TEGuhLFzgRR/CQ== Meeting Time: 2021-04-09T15:50:56Z probability truth question fraction thing model lambda partners percent drugs likelihood function parameter answer models person form things problem tails From Meg Cole 8 plays
01:10:03 4.9.21 David Rodhe and Flavian Vasile, Criteo 4.9.21 David Rodhe and Flavian Vasile, Criteo	4.9.21 David Rodhe and Flavian Vasile, Criteo Zoom Recording ID: 94765771101 UUID: 5bO/g7OjT0ChDrgsMtdo6w== Meeting Time: 2021-04-09T15:09:17Z decision kind model rule problem things action actions likelihood thing loss theory learning point fact systems reward form literature nature From Jordan Staiti 28 plays
01:04:20 ORIE Colloquium: Constantine Caramanis… ORIE Colloquium: Constantine Caramanis (University of Texas at Austin), April 6, 2021	ORIE Colloquium: Constantine Caramanis (University of Texas at Austin), April 6, 2021 “MLE and the EM algorithm for Mixtures: Minimax Results” The Expectation-Maximization (EM) algorithm is a widely used tool for computing the maximum likelihood estimator (MLE) in… mixture point em story samples algorithm event sample problem likelihood rate regression complexity root things events kind separation words distance From Henry Lam 7 plays
01:17:49 Graduate Training Prosem with Seth Sanders… Graduate Training Prosem with Seth Sanders session 1	Graduate Training Prosem with Seth Sanders session 1 Zoom Recording ID: 97954002948 UUID: cP/nCZJ7QB6GuvMzpjh4gA== Meeting Time: 2021-03-19T15:44:09Z function likelihood model lambda models probability score thing helmet question log form slope things mixture paper computer minus bit lot From Meg Cole 24 plays
01:20:10 ORIE 4580 - Lecture 13 - 1015 ORIE 4580 - Lecture 13 - 1015	ORIE 4580 - Lecture 13 - 1015 distribution thing test likelihood statistic chi points probability bootstrap parameters sense lambda function bins hypothesis problem point things end question From Sid Banerjee 47 plays Content Categories Lectures Creation Date October 15, 2020 Creator 1 First Name Sid Creator 1 Last Name Banerjee Creator 1 Role Lecturer Creator 1 NetID sb2373
01:20:58 ORIE 4580 - Lecture 12 - 1013 ORIE 4580 - Lecture 12 - 1013	ORIE 4580 - Lecture 12 - 1013 distribution function thing method parameters likelihood lambda sense things log minus problem cdf alpha moments idea summation answer plot distributions From Sid Banerjee 84 plays Content Categories Lectures Creation Date October 13, 2020 Creator 1 First Name Sid Creator 1 Last Name Banerjee Creator 1 Role Lecturer Creator 1 NetID sb2373
01:04:00 CAM Colloquium - Johan Ugander (9/25/20) CAM Colloquium - Johan Ugander (9/25/20)	CAM Colloquium - Johan Ugander (9/25/20) Zoom Recording ID: 95217932087 UUID: o0Fkc3oERdSqAhRm4nig/g== Meeting Time: 2020-09-25T19:08:19Z choice model sort probability models markov thing things chain space talk utility distribution lot pairwise distributions alternatives paper kind likelihood From Erika Fowler-Decatur 8 plays
01:00:41 ORIE Colloquium, 2014-04-15 - Natesh Pillai… ORIE Colloquium, 2014-04-15 - Natesh Pillai (Harvard)	ORIE Colloquium, 2014-04-15 - Natesh Pillai (Harvard) Tuesday, Apr 15, 2014 at 4:15 PM [.ics] 253 Rhodes Hall Natesh Pillai Assistant Professor, Department of Statistics Harvard University Category: ORIE Colloquium Seminars elementary mathematics truth evaluation topology and uncertainty statistical terminology caption complete real challenge information distribution analytic geometry evaluate spring 2014 function true model x.. theoretical computer science on premise cognition model logic question people probability theory likelihood heuristics mathematical objects communication scientific method geometry numerical analysis algebra functions and mappings marketing number mit conceptual models mediasite point stochastic processes theology parameter thing algorithms eng research market knowledge functional analysis iso basic latin letters algorithm infinity business monte carlo methods dwarves (mythology) density functional theory problem non-parametric statistics philosophy of mathematics data management compute computability theory evaluation methods set theory probability temperature design of experiments approximate approximation mathematical logic statisticians decision theory combinatorics analysis From E. Cornelius 72 plays
01:04:48 ORIE Colloquium, 2013-02-05 - Guy Lebanon:… ORIE Colloquium, 2013-02-05 - Guy Lebanon: Stochastic m-Estimators and the Tradeoff Between Statistical Accuracy and Computational Complexity	ORIE Colloquium, 2013-02-05 - Guy Lebanon: Stochastic m-Estimators and the Tradeoff Between Statistical Accuracy and Computational Complexity ORIE Colloquium: Guy Lebanon (Georgia Tech) - Stochastic m-Estimators and the Tradeoff Between Statistical Accuracy and Computational Complexity Tuesday, February 5, 2013 at 4:15pm Frank H. T. Rhodes… grammar multivariate statistics dimension probability theory caption complete fiction incompleteness problem approximation conditionals real estate terminology preference machine learning observation topology functional analysis items statistical data types ranking neuroscience compute abstract algebra on premise statistical models probability randomness estimate data points eng m.s.t. network analysis statistics exponentials number video thing applied mathematics cloud computing providers psychology elementary mathematics computation statistical charts and diagrams functions and mappings mathematical terminology neuropsychological assessment factorial and binomial topics movie mathematical notation military ranks decision theory likelihood attention distribution statistical theory artificial intelligence mediasite general topology statistical terminology spring 2013 competition point combinatorics gamma and related functions model arithmetic recommendation permutation computer data bayesian statistics estimation theory kill bill war property basic concepts in set theory From E. Cornelius 19 plays
01:02:35 CAM Colloquium - November 09, 2012: Ricardo A.… CAM Colloquium - November 09, 2012: Ricardo A. Daziano	CAM Colloquium - November 09, 2012: Ricardo A. Daziano Ricardo Daziano (Cornell) - Statistical Inference on Consumers’ Preferences and Willingness-to-Pay Friday, November 9, 2012 at 3:30pm Frank H. T. Rhodes Hall, 253 Understanding individual… physical chemistry vehicle estimate formal sciences probability production economics fall 2012 marginal concepts survey methodology parameter function rural geography problem physical quantities sampling (statistics) environmental science mathematical and quantitative methods (economics) conceptual models range quality price consumer theory commerce market structure and pricing abstract algebra research methods statistical inference utility personhood microeconomics bayesian statistics decision theory mathematical notation transport economics data collection data people mathematical disambiguation on premise statistical models markets (customer bases) business terms gas vehicle public economics economic systems characteristics likelihood statistics choice modelling philosophical terminology civil engineering caption complete political economy electric vehicles accountancy constitutional law eng logic evaluation methods green vehicles mediasite choice attribute statistical intervals evaluation straightforward dollars electric costs marketing individual instance distribution individualism consumer chemical engineering statistical theory management estimation theory alternative model scientific method difference thing pricing economics terminology From E. Cornelius 7 plays
01:10:31 CAM Colloquium, 2016-02-26 - Qing Zhao: Active… CAM Colloquium, 2016-02-26 - Qing Zhao: Active Inference for Anomaly Detection	CAM Colloquium, 2016-02-26 - Qing Zhao: Active Inference for Anomaly Detection iso basic latin letters mathematical logic experiment fair point cam deterministic house sound human head and neck decision theory objective improvement research cell biology sample number close reason physical quantities cornell sex probability design of experiments likelihood livestock choose imo concentrating alternative black holes concepts in physics difference caption complete reproduction problem house types hearing minimize ethology distribution reliability qing zhao point causal inference f.g.b. probability theory observation animal anatomy From E. Cornelius 12 plays
01:01:15 CAM Colloquium, 2016-04-22 - Yudong Chen:… CAM Colloquium, 2016-04-22 - Yudong Chen: Statistical-Computational Trade-offs in Community Detection	CAM Colloquium, 2016-04-22 - Yudong Chen: Statistical-Computational Trade-offs in Community Detection materials science emotions probability marketing cam problem measure polynomials likelihood organs result region resolution p.s.u. corresponds difference philosophical logic probability theory theoretical computer science number understand war caption complete artistic techniques competition customer military ranks neighbors structure cornell condition yudong chen computation matter algorithm mathematical terminology philosophy disambiguation distribution expression membership mathematical logic commerce recitation logical consequence characterize linear function From E. Cornelius 12 plays