Likelihood function - PDFSEARCH.IO - Document Search Engine

Likelihood function
Results: 826

#	Item
721	Moment-based Uniform Deviation Bounds for k-means and Friends Matus Telgarsky Sanjoy Dasgupta Computer Science and Engineering, UC San Diego {mtelgars,dasgupta}@cs.ucsd.edu Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2013-11-09 00:58:53 Statistical theory Gaussian function Normal distribution Moment Maximum likelihood Central limit theorem Logarithm Expected value Error function Mathematical analysis Statistics Mathematics
722	Likelihood-Based Inferences under Isolation by Distance: Two-Dimensional Habitats and Confidence Intervals Fran¸cois Rousset∗,1 and Rapha¨el Leblois2 1 Institut des Sciences de l’Evolution (UM2-CNRS), Universit´e Add to Reading List Source URL: raphael.leblois.free.fr Language: English - Date: 2012-12-30 05:41:41 Maximum likelihood Coalescent theory Likelihood-ratio test Estimator Point estimation M-estimator Bias of an estimator Likelihood Parameter Statistics Estimation theory Likelihood function
723	Maximum likelihood inference of population size contractions from microsatellite data Rapha¨el Lebloisa,b,f,∗, Pierre Pudloa,d,f , Joseph N´eronb , Fran¸cois Bertauxb,e , Champak Reddy Beeravolua , Renaud Vitalisa,f Add to Reading List Source URL: raphael.leblois.free.fr Language: English - Date: 2013-12-19 04:34:07 Statistical theory M-estimators Bayesian statistics Maximum likelihood Likelihood function Statistical power Coalescent theory Likelihood-ratio test Confidence interval Statistics Estimation theory Statistical inference
724	A Unified Approach to Measurement Error and Missing Data: Details and Extensions∗ Matthew Blackwell† James Honaker‡ Add to Reading List Source URL: gking.harvard.edu Language: English - Date: 2014-04-14 12:48:46 Expectation–maximization algorithm Errors-in-variables models Likelihood function Sufficient statistic M-estimator Estimator Normal distribution Statistics Estimation theory Maximum likelihood
725	III An Error in the Argument from Conditionality and Sufficiency to the Likelihood Principle Deborah G. Mayo Cox and Mayo (7(II), this volume) make the following bold assertion: It is not uncommon to see statistics texts Add to Reading List Source URL: www.phil.vt.edu Language: English - Date: 2011-05-11 00:02:45 Conditionality principle Statistical inference Frequentist inference Inference Likelihood function Bayesian statistics Sufficient statistic P-value Causality Statistics Statistical theory Likelihood principle
726	LIKELIHOOD ESTIMATION FOR BLOCK CIPHER KEYS Sean Murphy, Fred Piper, Michael Walker(y), Peter Wild Information Security Group (y)Vodafone Limited Royal Holloway The Courtyard Add to Reading List Source URL: www.isg.rhul.ac.uk Language: English - Date: 2005-11-30 04:39:16 Ciphertext Chosen-plaintext attack Block cipher Linear cryptanalysis Maximum likelihood Likelihood function Keystream Four-square cipher Cryptography Estimation theory Stream ciphers
727	Likelihood Estimation for Block Cipher Keys Sean Murphy, Fred Piper, Michael Walker and Peter Wild Technical Report RHUL–MA–2006–3 Add to Reading List Source URL: www.isg.rhul.ac.uk Language: English - Date: 2006-07-06 07:56:42 Ciphertext Maximum likelihood Chosen-plaintext attack Differential cryptanalysis Likelihood function Block cipher Normal distribution Keystream Four-square cipher Cryptography Estimation theory Stream ciphers
728	Mining the Web to Predict Future Events Kira Radinsky Eric Horvitz Technion–Israel Institute of Technology Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2012-12-04 02:34:47 Bayesian statistics Probability Cholera Markov chain Likelihood function Event chain methodology Medicine Statistics Health
729	An Algorithm for Inferences in a Polytree with Heterogeneous Conditional Distributions Robert Dodier robert [removed] http://riso.sourceforge.net Add to Reading List Source URL: riso.sourceforge.net Language: English - Date: 2002-05-05 02:25:43 Statistical models Expectation–maximization algorithm Missing data Normal distribution Statistical theory Bayesian network Mixture model Likelihood function Gibbs sampling Statistics Bayesian statistics Estimation theory
730	Restricted Boltzmann Machines are Hard to Approximately Evaluate or Simulate Philip M. Long Google Add to Reading List Source URL: www.phillong.info Language: English - Date: 2013-08-07 12:09:14 XTR Maximum likelihood Time complexity Spectral theory of ordinary differential equations Non-analytic smooth function Theoretical computer science Mathematics Applied mathematics

UPDATE