Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Zdravko Botev"'
Publikováno v:
Algorithms, Vol 15, Iss 10, p 354 (2022)
Variance-component models are an indispensable tool for statisticians wanting to capture both random and fixed model effects. They have applications in a wide range of scientific disciplines. While maximum likelihood estimation (MLE) is the most popu
Externí odkaz:
https://doaj.org/article/80f6e11de9cc4b1e89d82557f93fe026
Publikováno v:
British Journal of Oral and Maxillofacial Surgery. 61:267-273
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fc5d26e0190b3ac9e869485921e9e02
https://doi.org/10.1016/j.bjoms.2022.11.004
https://doi.org/10.1016/j.bjoms.2022.11.004
Autor:
Zdravko Botev
This thesis is divided into two parts. In the first part we describe a new Monte Carlo algorithm for the consistent and unbiased estimation of multidimensional integrals and the efficient sampling from multidimensional densities. The algorithm is ins
Externí odkaz:
http://espace.library.uq.edu.au/view/UQ:198531
Autor:
Dirk P. Kroese, Zdravko Botev
An Advanced Course in Probability and Stochastic Processes provides a modern and rigorous treatment of probability theory and stochastic processes at an upper undergraduate and graduate level. Starting with the foundations of measure theory, this boo
This book celebrates the career of Pierre L'Ecuyer on the occasion of his 70th birthday. Pierre has made significant contributions to the fields of simulation, modeling, and operations research over the last 40 years. This book contains 20 chapters w
Autor:
Daniel MacKinlay, Zdravko Botev
We introduce a novel mosaic synthesis algorithm for musical style transfer using the autocorrelogram as a feature map. We decompose the autocorrelogram feature map sparsely in a decaying sinusoid basis, using that decomposition as an interpolation sc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81d2f8764c1d8a12ff12ab891d819dd8
© 2018 IEEE The current popular method for approximate simulation from the posterior distribution of the linear Bayesian LASSO is a Gibbs sampler. It is well-known that the output analysis of an MCMC sampler is difficult due to the complex dependenc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f75d3778828f5b2fc4e095e79b20a7f
https://hdl.handle.net/10453/134615
https://hdl.handle.net/10453/134615
'This textbook is a well-rounded, rigorous, and informative work presenting the mathematics behind modern machine learning techniques. It hits all the right notes: the choice of topics is up-to-date and perfect for a course on data science for mathem
Autor:
Zdravko Botev, Pierre L'Ecuyer
Publikováno v:
HAL
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5560ff6e1f9471147c83445aeb520872
https://doi.org/10.1109/wsc.2017.8247924
https://doi.org/10.1109/wsc.2017.8247924
Publikováno v:
2017 Winter Simulation Conference (WSC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f9bd3831f371aab42c470392f0471f1
https://doi.org/10.1109/wsc.2017.8247926
https://doi.org/10.1109/wsc.2017.8247926