Zobrazeno 1 - 10
of 108
pro vyhledávání: '"62d99"'
Autor:
Klebanov, Ilja
The Fokker-Planck equation can be reformulated as a continuity equation, which naturally suggests using the associated velocity field in particle flow methods. While the resulting probability flow ODE offers appealing properties - such as defining a
Externí odkaz:
http://arxiv.org/abs/2410.18993
How many samples should one collect for an empirical distribution to be as close as possible to the true population? This question is not trivial in the context of single-cell RNA-sequencing. With limited sequencing depth, profiling more cells comes
Externí odkaz:
http://arxiv.org/abs/2409.14326
When entering French university, the students' foreign language level is assessed through a placement test. In this work, we model the placement test results using binary latent block models which allow to simultaneously form homogeneous groups of st
Externí odkaz:
http://arxiv.org/abs/2409.00470
Autor:
Janisch, Maximilian
For a sequence of $n$ random variables taking values $0$ or $1$, the hot hand statistic of streak length $k$ counts what fraction of the streaks of length $k$, that is, $k$ consecutive variables taking the value $1$, among the $n$ variables are follo
Externí odkaz:
http://arxiv.org/abs/2407.10577
A complete and statistically consistent uncertainty quantification for deep learning is provided, including the sources of uncertainty arising from (1) the new input data, (2) the training and testing data (3) the weight vectors of the neural network
Externí odkaz:
http://arxiv.org/abs/2405.20550
Covariance-free Bi-fidelity Control Variates Importance Sampling for Rare Event Reliability Analysis
Multifidelity modeling has been steadily gaining attention as a tool to address the problem of exorbitant model evaluation costs that makes the estimation of failure probabilities a significant computational challenge for complex real-world problems,
Externí odkaz:
http://arxiv.org/abs/2405.03834
Autor:
Reuter, Torsten, Schwabe, Rainer
The goal of subsampling is to select an informative subset of all observations, when using the full data for statistical analysis is not viable. We construct locally $ D $-optimal subsampling designs under a Poisson regression model with a log link i
Externí odkaz:
http://arxiv.org/abs/2403.18432
Autor:
Barczy, Matyas, Páles, Zsolt
We establish several properties of (weighted) generalized $\psi$-estimators introduced by Barczy and P\'ales in 2022: mean-type, monotonicity and sensitivity properties, bisymmetry-type inequality and some asymptotic and continuity properties as well
Externí odkaz:
http://arxiv.org/abs/2401.16127
Autor:
Barczy, Matyas, Páles, Zsolt
We solve the comparison problem for generalized $\psi$-estimators introduced in Barczy and P\'ales (2022). Namely, we derive several necessary and sufficient conditions under which a generalized $\psi$-estimator less than or equal to another $\psi$-e
Externí odkaz:
http://arxiv.org/abs/2309.04773
Autor:
Klebanov, Ilja, Sullivan, T. J.
Integration against, and hence sampling from, high-dimensional probability distributions is of essential importance in many application areas and has been an active research area for decades. One approach that has drawn increasing attention in recent
Externí odkaz:
http://arxiv.org/abs/2308.10081