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Imprecise probability
Results: 37

#	Item
21	Imprecise Dirichlet process with application to the hypothesis test on the probability that X ≤ Y Alessio Benavoli1 and Francesca Mangili1 and Fabrizio Ruggeri2 and Marco Zaffalon1 1 IPG IDSIA, Manno, Switzerland Add to Reading List Source URL: ipg.idsia.ch Language: English - Date: 2015-02-10 08:39:35 Statistical theory Statistical inference Statistical tests Dirichlet process Statistical power Exponential family Bayesian inference P-value Likelihood function Statistics Bayesian statistics Hypothesis testing
22	Robust Classification of Multivariate Time Series by Imprecise Hidden Markov ModelsI Alessandro Antonucci1,∗, Rocco de Rosa2 , Alessandro Giusti1 , Fabio Cuzzolin3 Abstract A novel technique to classify time series wit Add to Reading List Source URL: ipg.idsia.ch Language: English - Date: 2014-11-19 11:12:13 Bayesian inference Credal set Markov processes Estimation theory Hidden Markov model Markov chain Expectation–maximization algorithm Imprecise probability Naive Bayes classifier Statistics Markov models Bayesian statistics
23	Forecasting with Imprecise Probabilities Teddy Seidenfeld [removed] Mark J. Schervish [removed] Add to Reading List Source URL: www.hss.cmu.edu Language: English - Date: 2012-03-27 09:39:55 Statistics Brier score Probabilistic forecasting Scoring rule Event Ordinal number Independence Conditional expectation Probability theory Probability and statistics Philosophical logic
24	Gaussian Processes in Response Surface Modeling Add to Reading List Source URL: dakota.sandia.gov Language: English Probability theory Statistical inference Bayesian statistics Numerical analysis Confidence interval Dempster–Shafer theory Imprecise probability Sensitivity analysis Surrogate model Statistics Science Measurement
25	PDF Document Add to Reading List Source URL: www.samsi.info Language: English - Date: 2011-06-23 14:21:04 Risk analysis Bayesian statistics DAKOTA Uncertainty Quantification of margins and uncertainties Polynomial chaos Imprecise probability Surrogate model Confidence interval Statistics Measurement Probability box
26	Multiple Model Tracking by Imprecise Markov Trees Alessandro Antonucci and Alessio Benavoli and Marco Zaffalon IDSIA, Switzerland {alessandro,alessio,zaffalon}@idsia.ch Gert de Cooman and Filip Hermans SYSTeMS, Ghent Uni Add to Reading List Source URL: www.idsia.ch Language: English - Date: 2011-09-05 10:48:56 Bayesian statistics Statistical models Markov processes Bioinformatics Hidden Markov model Kalman filter Probabilistic logic Bayesian network Estimation theory Statistics Markov models Probability and statistics
27	CONDITIONAL MODELS: COHERENCE AND INFERENCE THROUGH SEQUENCES OF JOINT MASS FUNCTIONS ENRIQUE MIRANDA AND MARCO ZAFFALON Abstract. We call a conditional model any set of statements made of conditional probabilities or ex Add to Reading List Source URL: bellman.ciencias.uniovi.es Language: English - Date: 2014-10-08 18:57:28 Measurement Imprecise probability Upper and lower probabilities Conditioning SIPTA Probability Conditional probability Event Probability theory Mathematical analysis Statistics
28	NOTES ON DESIRABILITY AND CONDITIONAL LOWER PREVISIONS ENRIQUE MIRANDA AND MARCO ZAFFALON Abstract. We detail the relationship between sets of desirable gambles and conditional lower previsions. The former is one the mos Add to Reading List Source URL: www.idsia.ch Language: English - Date: 2011-04-12 03:30:17 Statistics Imprecise probability Conditional expectation Ordinal number Conditioning Connection Integral Probability theory Mathematical analysis Mathematics
29	BELIEF 2014 3rd International Conference on Belief Functions http://cms.brookes.ac.uk/staff/FabioCuzzolin/BELIEF2014 Oxford, UK, September[removed]CALL FOR PAPERS The theory of belief functions, also referred to as ev Add to Reading List Source URL: isif.org Language: English - Date: 2014-02-24 14:44:09 Logic Statistical inference Dempster–Shafer theory Transferable belief model Imprecise probability Epistemology Arthur P. Dempster Mathematics Upper and lower probabilities Statistics Probability theory Science
30	Hierarchical fusion of expert opinions in the Transferable Belief Model, application to climate sensitivity∗ Minh Ha-Duong† May 19, 2008 Abstract Add to Reading List Source URL: minh.haduong.com Language: English - Date: 2008-05-19 13:51:12 Transferable belief model Probability and statistics Mathematics Imprecise probability Ordinal number Probability Independence Probability space Probability theory Statistics Dempster–Shafer theory