المؤلفون: Ganguly, Arnab, KhudaBukhsh, Wasiur R.

مصطلحات موضوعية: Mathematics - Probability, Mathematics - Functional Analysis, Mathematics - Statistics Theory, Quantitative Biology - Quantitative Methods, Statistics - Methodology, 60F17, 60F05, 62F99, 62M99

URL الوصول: http://arxiv.org/abs/2409.06565

المؤلفون: Saulo, Helton, Pal, Suvra, Souza, Rubens, Vila, Roberto, Dasilva, Alan

مصطلحات موضوعية: Statistics - Methodology, Statistics - Machine Learning, 62F99, 62M99, G.0, G.3

URL الوصول: http://arxiv.org/abs/2308.15571

المؤلفون: Saulo, Helton, Pal, Suvra, Vila, Roberto

مصطلحات موضوعية: Statistics - Applications, 62F99, 62M99, G.0, G.3

URL الوصول: http://arxiv.org/abs/2306.13764

المؤلفون: Della Maestra, Laetitia, Hoffmann, Marc

مصطلحات موضوعية: Mathematics - Statistics Theory, 62C20, 62F12, 62F99, 62M99

URL الوصول: http://arxiv.org/abs/2205.05932

المؤلفون: Dachian, Serguei

المصدر: Journal of Statistical Planning and Inference (2010) to appear

مصطلحات موضوعية: Mathematics - Statistics Theory, 62F99, 62M99

URL الوصول: http://arxiv.org/abs/0907.0440

المؤلفون: Serguei Dachian

المساهمون: Laboratoire de Mathématiques Blaise Pascal (LMBP), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Centre National de la Recherche Scientifique (CNRS)

المصدر: Journal of Statistical Planning and Inference
Journal of Statistical Planning and Inference, Elsevier, 2010, 140 (9), pp.2682-2692
Journal of Statistical Planning and Inference, 2010, 140 (9), pp.2682-2692

مصطلحات موضوعية: Statistics and Probability, 0209 industrial biotechnology, Bayesian estimators, Asymptotic distribution, Mathematics - Statistics Theory, 02 engineering and technology, Statistics Theory (math.ST), Poisson distribution, 01 natural sciences, non-regularity, 010104 statistics & probability, symbols.namesake, AMS Subject Classification: 62F99, 62M99, 020901 industrial engineering & automation, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], limiting likelihood ratio process, Statistical inference, FOS: Mathematics, Applied mathematics, 0101 mathematics, Brownian motion, Mathematics, Parametric statistics, Applied Mathematics, asymptotic efficiency, Estimator, Statistical model, maximum likelihood estimator, [STAT.TH]Statistics [stat]/Statistics Theory [stat.TH], Exponential function, limiting variance, 62F99, 62M99, symbols, Statistics, Probability and Uncertainty, change-point, limiting distribution

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::807aebdf25e6654f33b026d131d2c4eb
https://hal.archives-ouvertes.fr/hal-00401299

المؤلفون: Serguei Dachian, Ilia Negri

المساهمون: Laboratoire de Mathématiques Blaise Pascal (LMBP), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Centre National de la Recherche Scientifique (CNRS), Department of Information Technology and Mathematical Methods, Università degli Studi di Bergamo = University of Bergamo (UniBg), University of Bergamo

المصدر: Statistical Inference for Stochastic Processes
Statistical Inference for Stochastic Processes, 2011, 14 (3), pp.255-271. ⟨10.1007/s11203-011-9059-x⟩
Statistical Inference for Stochastic Processes, Springer Verlag, 2011, 14 (3), pp.255-271. ⟨10.1007/s11203-011-9059-x⟩

مصطلحات موضوعية: Statistics and Probability, Bayesian estimators, limiting mean squared error, Mathematics - Statistics Theory, Statistics Theory (math.ST), Poisson distribution, compound Poisson process, 01 natural sciences, non-regularity, 010104 statistics & probability, symbols.namesake, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], limiting likelihood ratio process, asymptotic relative efficiency, Compound Poisson process, Statistical inference, FOS: Mathematics, Statistical physics, 0101 mathematics, Brownian motion, Mathematics, Stochastic process, 010102 general mathematics, maximum likelihood estimator, Statistical model, [STAT.TH]Statistics [stat]/Statistics Theory [stat.TH], Exponential function, change-point, limiting distribution, 62F99, 62M99, symbols, Exponent, Settore SECS-S/01 - Statistica

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33894ee51c0c47859eb015d9e11cce7f