Results 71 to 80 of about 3,579,757 (300)
Advanced Science, EarlyView.Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li +6 more
wiley +1 more source
Nachruf: Prof. Ing. Dr. Adolf ADAM
Austrian Journal of Statistics, 2016 Nachruf: Prof. Ing. Dr. Adolf ADAM (* 9. Februar 1918, †7. August 2004)
Wilfried Grossmann, Norbert Rozsenich
doaj +1 more source
Statistical Methods and the Meaning of Probabilities. A Philosopher Looks at Statistics
, 2013 The talk starts out with a short introduction to the philosophy of probability. I highlight the need to interpret probabilities in the sciences and motivate objectivist accounts of probabilities.
Beisbart, Claus
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Advanced Science, EarlyView.An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen +7 more
wiley +1 more source
Trimmed Likelihood-based Estimation in Binary Regression Models
Austrian Journal of Statistics, 2016 Binary-choice regression models such as probit and logit are typically estimated by the maximum likelihood method. To improve its robustness, various M-estimation based procedures were proposed, which however require bias corrections to achieve ...
Pavel Čížek
doaj +1 more source
Inductive logic vs mathematical statistics [PDF]
, 2020 The early concepts of the inductive logic have origin by ancient and medieval thinkers, but the true development we observe just in the second half of XIX century when the probability theory was applied there. In the XX century a real explosion of papers
Mikiewicz, Jan
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Hierarchical Decompositions for the Computation of High-Dimensional Multivariate Normal Probabilities [PDF]
, 2018 We present a hierarchical decomposition scheme for computing the n-dimensional integral of multivariate normal probabilities that appear frequently in statistics.
Keyes, David E. +6 more
core +1 more source
Advanced Science, EarlyView.Here, we present an optoelectronic synaptic memtransistor (OSMT) integrating photoresponsive IGZO with contact‐engineered HfO2, enabling electrically and optically tunable synaptic weights. The device demonstrates broad range of tunable conductance states and array‐level image processing, highlighting its potential for intelligent machine vision ...
Donghyun Kang +6 more
wiley +1 more source
Permutation Tests for Univariate and Multivariate Ordered Categorical Data
Austrian Journal of Statistics, 2016 In this paper, we provide solutions for univariate and multivariate testing problems with ordered categorical variables by working within the nonparametric combination of dependent permutation tests (see Pesarin, 2001).
Fortunato Pesarin, Luigi Salmaso
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Why distinguish between statistics and mathematical statistics - the case of Swedish academia [PDF]
, 2016 A separation between the academic subjects statistics and mathematical statistics has existed in Sweden almost as long as there have been statistics professors. The same distinction has not been maintained in other countries.
Lindgren, Georg, Guttorp, Peter
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