Zobrazeno 1 - 10
of 217
pro vyhledávání: '"Markovic, Jelena"'
Autor:
Jovanović, Jelena, Blagojević, Tamara, Marković, Jelena, de Becdelièvre, Camille, Balj, Lidija, Stefanović, Sofija
Publikováno v:
In Journal of Archaeological Science: Reports October 2024 58
We consider the problem of inference for parameters selected to report only after some algorithm, the canonical example being inference for model parameters after a model selection procedure. The conditional correction for selection requires knowledg
Externí odkaz:
http://arxiv.org/abs/1901.09973
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Markovic, Jelena, Sepehri, Amir
This work introduces a class of rejection-free Markov chain Monte Carlo (MCMC) samplers, named the Bouncy Hybrid Sampler, which unifies several existing methods from the literature. Examples include the Bouncy Particle Sampler of Peters and de With (
Externí odkaz:
http://arxiv.org/abs/1802.04366
Investigators often use the data to generate interesting hypotheses and then perform inference for the generated hypotheses. P-values and confidence intervals must account for this explorative data analysis. A fruitful method for doing so is to condi
Externí odkaz:
http://arxiv.org/abs/1801.09037
Autor:
Sepehri, Amir, Markovic, Jelena
In this work we present a non-reversible, tuning- and rejection-free Markov chain Monte Carlo which naturally fits in the framework of hit-and-run. The sampler only requires access to the gradient of the log-density function, hence the normalizing co
Externí odkaz:
http://arxiv.org/abs/1711.07177
Autor:
Karioti, Anastasia, Kukić-Marković, Jelena, Bilia, Anna Rita, Niketić, Marjan, Petrović, Silvana
Publikováno v:
In Biochemical Systematics and Ecology October 2022 104
Autor:
Mihailović, Dušan, Milošević, Stefan, Blackwell, Bonnie A.B., Mercier, Norbert, Mentzer, Susan M., Miller, Christopher E., Morley, Mike W., Bogićević, Katarina, Đurić, Dragana, Marković, Jelena, Mihailović, Bojana, Dragosavac, Sofija, Plavšić, Senka, Skinner, Anne R., Chaity, Iffath I.C., Huang, Yiwen E.W., Chu, Seimi, Nenadić, Draženko, Radović, Predrag, Lindal, Joshua, Roksandic, Mirjana
Publikováno v:
In Quaternary International 10 February 2022 610:1-19
We describe inferactive data analysis, so-named to denote an interactive approach to data analysis with an emphasis on inference after data analysis. Our approach is a compromise between Tukey's exploratory (roughly speaking "model free") and confirm
Externí odkaz:
http://arxiv.org/abs/1707.06692
We develop tools to do valid post-selective inference for a family of model selection procedures, including choosing a model via cross-validated Lasso. The tools apply universally when the following random vectors are jointly asymptotically multivari
Externí odkaz:
http://arxiv.org/abs/1703.06559