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An alternative to the standard Bayesian procedure for discrimination between normal linear modelsPERICCHI, L. R.Biometrika. 1984, Vol 71, Num 3, pp 575-586, issn 0006-3444Article

Outlier resistant distributions: where does the probability go?GOLDSTEIN, M.Journal of the Royal Statistical Society. Series B. Methodological. 1983, Vol 45, Num 3, pp 355-357, issn 0035-9246Article

Tone-enhanced generalized character posterior probability (GCPP) for Cantonese LVCSRYAO QIAN; SOONG, Frank K; LEE, Tan et al.Computer speech & language (Print). 2008, Vol 22, Num 4, pp 360-373, issn 0885-2308, 14 p.Article

Estimating the posterior probability that genome-wide association findings are true or falseBUKSZAR, József; MCCLAY, Joseph L; VAN DEN OORD, Edwin J. C. G et al.Bioinformatics (Oxford. Print). 2009, Vol 25, Num 14, pp 1807-1813, issn 1367-4803, 7 p.Article

A generalization of the near-optimum binary coherent state receiver conceptVILNROTTER, V. A; RODEMICH, E. R.IEEE transactions on information theory. 1984, Vol 30, Num 2, pp 446-450, issn 0018-9448Article

Sur la structure des distributions a posteriori des probabilités dans les problèmes du filtrage cumulé des processus de MarkovKAPYLOV, A. K.Radiotehnika i èlektronika. 1987, Vol 32, Num 7, pp 1466-1472, issn 0033-8494Article

Multilabel classifiers with a probabilistic thresholding strategyRAMON QUEVEDO, Jose; LUACES, Oscar; BAHAMONDE, Antonio et al.Pattern recognition. 2012, Vol 45, Num 2, pp 876-883, issn 0031-3203, 8 p.Article

A note on Platt's probabilistic outputs for support vector machinesLIN, Hsuan-Tien; LIN, Chih-Jen; WENG, Ruby C et al.Machine learning. 2007, Vol 68, Num 3, pp 267-276, issn 0885-6125, 10 p.Article

A Bayesian approach for assessing process precision based on multiple samplesPEARN, W. L; WU, Chien-Wei.European journal of operational research. 2005, Vol 165, Num 3, pp 685-695, issn 0377-2217, 11 p.Article

A new criterion for variable selectionPHILIPS, R; GUTTMAN, I.Statistics & probability letters. 1998, Vol 38, Num 1, pp 11-19, issn 0167-7152Article

A MAP estimate that maximizes entropy ― an alternative interpretation for an autoregressive modelUNNIKRISHNA PILLAI, S.Proceedings of the IEEE. 1985, Vol 73, Num 4, pp 843-844, issn 0018-9219Article

Performance of M-ary feedback communication systemsKAZOVSKY, L. G.IEE proceedings. Part F. Communications, radar and signal processing. 1984, Vol 131, Num 1, pp 80-86, issn 0143-7070Article

On the transitivity of the posterior Pitman closeness criterionBOSE, S.Journal of statistical planning and inference. 1998, Vol 69, Num 2, pp 263-274, issn 0378-3758Article

Bayesian interval estimates which are also confidence intervalsSEVERINI, T. A.Journal of the Royal Statistical Society. Series B. Methodological. 1993, Vol 55, Num 2, pp 533-540, issn 0035-9246Article

QVALITY : non-parametric estimation of q-values and posterior error probabilitiesKÄLL, Lukas; STOREY, John D; STAFFORD NOBLE, William et al.Bioinformatics (Oxford. Print). 2009, Vol 25, Num 7, pp 964-966, issn 1367-4803, 3 p.Article

Interval estimates for posterior probabilities in a multivariate normal classification modelAMBERGEN, A. W; SCHAAFSMA, W.Journal of multivariate analysis. 1985, Vol 16, Num 3, pp 432-439, issn 0047-259XArticle

THE PROBABILITY OF "LAWS OF NATURE": A CASE FOR HENTIKKA'S INDUCTIVE LOGICMONDADORI M.1978; STATISTICA; ITA; DA. 1978; VOL. 38; NO 4; PP. 517-536; ABS. ITA/FRE; BIBL. 2 P.Article

APPROXIMATE POSTERIOR DISTRIBUTIONS.DICKEY JM.1976; J. AMER. STATIST. ASS.; U.S.A.; DA. 1976; VOL. 71; NO 355; PP. 680-689; BIBL. 1 P.Article

APPLICATIONS OF A METHOD FOR THE EFFICIENT COMPUTATION OF POSTERIOR DISTRIBUTIONSNAYLOR JC; SMITH FM.1982; APPLIED STATISTICS; ISSN 0035-9254; GBR; DA. 1982; VOL. 31; NO 3; PP. 214-225; BIBL. 13 REF.Article

REFERENCE POSTERIOR DISTRIBUTIONS FOR BAYESIAN INFERENCEBERNARDO JM.1979; J. R. STATIST. SOC., B; GBR; DA. 1979; VOL. 41; NO 2; PP. 113-147; BIBL. 26 REF.Article

DATA ANALYTICAL METHODS IN DISCRIMINANT ANALYSIS: THE ANALYSIS OF POSTERIOR PROBABILITIES.HABBEMA JDF; HERMANS J; REMME J et al.sdIN: ANAL. DONNEES ET INF. JOURN. 1; VERSAILLES; 1977; LE CHESNAY; INST. RECH. INF. AUTOM.; DA. S.D.; VOL. 1; PP. 211-221; BIBL. 12 REF.Conference Paper

Assessing process capability based on Bayesian approach with subsamplesWU, Chien-Wei.European journal of operational research. 2007, Vol 184, Num 1, pp 207-228, issn 0377-2217, 22 p.Article

Image representation for generic object recognition using higher-order local autocorrelation features on posterior probability imagesMATSUKAWA, Tetsu; KURITA, Takio.Pattern recognition. 2012, Vol 45, Num 2, pp 707-719, issn 0031-3203, 13 p.Article

Posterior probability measure for image matchingZUREN FENG; NA LU; PING JIANG et al.Pattern recognition. 2008, Vol 41, Num 7, pp 2422-2433, issn 0031-3203, 12 p.Article

Posterior probability support vector machines for unbalanced dataQING TAO; WU, Gao-Wei; WANG, Fei-Yue et al.IEEE transactions on neural networks. 2005, Vol 16, Num 6, pp 1561-1573, issn 1045-9227, 13 p.Article

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