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Prior probability
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391	PHYSICAL REVIEW A 87, [removed]Experimental adaptive Bayesian tomography K. S. Kravtsov,1 S. S. Straupe,2,* I. V. Radchenko,1 N. M. T. Houlsby,3 F. Husz´ar,3 and S. P. Kulik2 1 Add to Reading List Source URL: mlg.eng.cam.ac.uk Language: English - Date: 2013-09-16 05:09:36 Bayesian statistics Estimation theory Quantum mechanics Quantum tomography Bayesian inference Prior probability Quantum state Optimal design Importance sampling Statistics Statistical theory Statistical inference
392	Measure Transformer Semantics for Bayesian Machine Learning Johannes Borgstr¨om Andrew D. Gordon Michael Greenberg James Margetson Jurgen Van Gael July 2011 Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2011-07-22 06:31:42 Statistical inference Statistical theory Bayesian inference Statistical forecasting Probability distribution Prior probability Bernoulli distribution Bayesian network Statistics Bayesian statistics Probability and statistics
393	I ORIGINAL ; L_,_--- STATE OF INDIANA Add to Reading List Source URL: www.in.gov Language: English - Date: 2014-11-12 16:23:43 Economy of the United States Vectren NiSource Prior probability
394	Bayesian Analysis[removed], Number 2, pp. 439–476 Beta Processes, Stick-Breaking and Power Laws Add to Reading List Source URL: ba.stat.cmu.edu Language: English - Date: 2012-05-23 02:36:09 Bernoulli process Pitman–Yor process Dirichlet distribution Probability distribution Bernoulli distribution Chinese restaurant process Poisson process Point process Conjugate prior Statistics Stochastic processes Dirichlet process
395	I ORIGINAL STATE OF INDIANA INDIANA UTILITY REGULATORY COMMISSION Add to Reading List Source URL: www.in.gov Language: English - Date: 2014-11-12 16:23:43 Hammond Indiana Geography of Indiana Indiana Vectren NiSource Prior probability
396	1012 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 58, NO. 3, MARCH 2010 Gaussian Multiresolution Models: Exploiting Sparse Markov and Covariance Structure Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2012-11-05 20:49:43 Statistical models Probability theory Networks Markov random field Covariance matrix Sparse matrix Matrix Multivariate normal distribution Conjugate prior Statistics Bayesian statistics Graphical models
397	The Astrophysical Journal, 796:24 (14pp), 2014 November 20 C[removed]doi:[removed]637X[removed] Add to Reading List Source URL: hea-www.harvard.edu Language: English - Date: 2014-11-25 16:03:12 Probability Prior probability Point spread function Conjugate prior Normal distribution Bayesian statistics Optics Statistics
398	2014 Inference Engine Final Report to ARENA Add to Reading List Source URL: arena.gov.au Language: English - Date: 2014-03-05 22:06:10 Statistical models Geology Geomagnetism Magnetotellurics Geophysics Prior probability Geothermal exploration Graphical model Probability Statistics Bayesian statistics Probability and statistics
399	[removed]Edwin Bonilla, Lachlan McCalman, Simon O’Callaghan, Fabio Ramos, Alistair Reid and Marie Connett National ICT Australia[removed]Edwin Bonilla, Lachlan McCalman, Simon O’Callaghan, Fabio Ramos, Alistai Add to Reading List Source URL: arena.gov.au Language: English - Date: 2014-03-05 22:06:09 Prior probability Probability distribution Normal distribution Mixture model Hidden Markov model Statistics Probability and statistics Bayesian statistics
400	P1: FIC OJ002-04 April 12, [removed]:23 Add to Reading List Source URL: mqscores.berkeley.edu Language: English - Date: 2014-07-14 18:26:26 Markov models Bayesian statistics Time series analysis Expectation–maximization algorithm Kalman filter Prior probability Normal distribution Regression analysis Autoregressive conditional heteroskedasticity Statistics Econometrics Estimation theory

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