Zobrazeno 1 - 10
of 230
pro vyhledávání: '"Nozer D. Singpurwalla"'
Autor:
Nozer D. Singpurwalla
Publikováno v:
Big Data and Information Theory ISBN: 9781003289173
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d8ee9c9597faa134e5f3e454c8bf66b
https://doi.org/10.4324/9781003289173-5
https://doi.org/10.4324/9781003289173-5
Autor:
Sheldon M. Ross, Nozer D. Singpurwalla, Vitali Volovoi, Mark Brown, Erol A. Peköz, William Q. Meeker
Publikováno v:
Applied Stochastic Models in Business and Industry. 35:260-269
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1131481208bd183def95ea0991636880
https://doi.org/10.1002/asmb.2442
https://doi.org/10.1002/asmb.2442
Autor:
Nozer D. Singpurwalla, Boya Lai
Publikováno v:
Advances in Statistics-Theory and Applications ISBN: 9783030628994
This paper is a top down historical perspective on the several phases in the development of probability from its prehistoric origins to its modern day evolution, as one of the key methodologies in artificial intelligence, data science, and machine le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fefc5a0dc87c4a537d934416f5abe36
https://doi.org/10.1007/978-3-030-62900-7_11
https://doi.org/10.1007/978-3-030-62900-7_11
Publikováno v:
Technometrics. 60:146-160
De Facto, signal processing is the interpolation and extrapolation of a sequence of observations viewed as a realization of a stochastic process. Its role in applied statistics ranges from scenarios in forecasting and time series analysis, to image r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1efe1102577826f4817dda96cbddd06
https://doi.org/10.1080/00401706.2017.1341341
https://doi.org/10.1080/00401706.2017.1341341
Autor:
Nozer D. Singpurwalla
Publikováno v:
International Journal of Management Science and Engineering Management. 11:116-121
The real purpose of collecting big data is to identify causality in the hope that this will facilitate credible predictivity. But the search for causality can trap one into infinite regress, and thus one takes refuge in seeking associations between v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::882acb837d6410d29e9af7a468873ceb
https://doi.org/10.1080/17509653.2016.1140405
https://doi.org/10.1080/17509653.2016.1140405
Autor:
Nozer D. Singpurwalla
Publikováno v:
Significance. 17:48-48
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9db6767835c26bfa64da0ef3d3908521
https://doi.org/10.1111/1740-9713.01383
https://doi.org/10.1111/1740-9713.01383
Autor:
Lai Boya, Nozer D. Singpurwalla
Publikováno v:
Technometrics. 61:566-567
Figuratively speaking, this is a weighty book (2lbs—465 pages in paperback) that is packed with megabytes of information (no pun intended), from a plethora of sources.Oxford University Press (OUP) ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdb5ec430dc75d732e8a6fe7ff262e43
https://doi.org/10.1080/00401706.2019.1679537
https://doi.org/10.1080/00401706.2019.1679537
Autor:
Hon Keung Tony Ng, Barry C. Arnold, Joseph L. Gastwirth, Nozer D. Singpurwalla, Anna S. Gordon
Publikováno v:
International Statistical Review. 84:390-412
In this paper, we develop a family of bivariate beta distributions that encapsulate both positive and negative correlations, and which can be of general interest for Bayesian inference. We then invoke a use of these bivariate distributions in two con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfbfd32d3e24ec060566953f5c737d72
https://doi.org/10.1111/insr.12104
https://doi.org/10.1111/insr.12104
This book constitutes the refereed proceedings of the First International Conference on Analytical and Computational Methods in Probability Theory and its Applications, ACMPT 2017, held in Moscow, Russia, in October 2017. The 42 full papers presente
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319715032
Analytical and Computational Methods in Probability Theory
Analytical and Computational Methods in Probability Theory
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6fe533a106bdc989b3af701eb1313c5
https://doi.org/10.1007/978-3-319-71504-9
https://doi.org/10.1007/978-3-319-71504-9