logo
科言猫学术研究的AI总结
language
手机端手机端
  • Phone Feature微信小程序
简体中文简体中文
notice消息通知
博客博客
delete
arrow
返回
J

Johannes Schmidt-Hieber

university of twente

10H指数
87论文数
1.1K被引数
收录论文 10
发表时间
logo
Johannes Schmidt-Hieber's contribution to the Discussion of 'the Discussion Meeting on Probabilistic and statistical aspects of machine learning'
errJOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
IF3.6
err2024-01-12
err0
errOAAI
errSchmidt-Hieber, Johannes
err分享
err收藏
POSTERIOR ANALYSIS OF n IN THE BINOMIAL (n, p) PROBLEM WITH BOTH PARAMETERS UNKNOWN-WITH APPLICATIONS TO QUANTITATIVE NANOSCOPY
errANNALS OF STATISTICS
IF3.7
err2021-12-01
err2
errOAAI
errSchmidt-Hieber, Johannes; Schneider, Laura Fee; Staudt, Thomas; Krajina, Andrea; Aspelmeier, Timo; Munk, Axel
err分享
err收藏
The Kolmogorov-Arnold representation theorem revisited重新讨论kolmogorov-arnold表示定理
errNEURAL NETWORKS
IF6.3
err2021-05-01
err45
errOAAI
errSchmidt-Hieber, Johannes
err分享
err收藏
REJOINDER: NONPARAMETRIC REGRESSION USING DEEP NEURAL NETWORKS WITH RELU ACTIVATION FUNCTION
errANNALS OF STATISTICS
IF3.7
err2020-08-01
err7
errOAAI
errSchmidt-Hieber, Johannes
err分享
err收藏
NONPARAMETRIC BAYESIAN ANALYSIS OF THE COMPOUND POISSON PRIOR FOR SUPPORT BOUNDARY RECOVERY
errANNALS OF STATISTICS
IF3.7
err2020-06-01
err2
errOAAI
errReiss, Markus; Schmidt-Hieber, Johannes
err分享
err收藏
A comparison of deep networks with ReLU activation function and linear spline-type methods
errNEURAL NETWORKS
IF6.3
err2019-02-01
err283
errOAAI
errEckle, Konstantin; Schmidt-Hieber, Johannes
err分享
err收藏
BAYESIAN LINEAR REGRESSION WITH SPARSE PRIORS
errANNALS OF STATISTICS
IF3.7
err2015-10-01
err284
errOAAI
errCastillo, Ismael; Schmidt-Hieber, Johannes; Van der Vaart, Aad
err分享
err收藏
ON ADAPTIVE POSTERIOR CONCENTRATION RATES关于自适应后验集中率
errANNALS OF STATISTICS
IF3.7
err2015-10-01
err43
errOAAI
errHoffmann, Marc; Rousseau, Judith; Schmidt-Hieber, Johannes
err分享
err收藏
ASYMPTOTIC EQUIVALENCE FOR REGRESSION UNDER FRACTIONAL NOISE
errANNALS OF STATISTICS
IF3.7
err2014-12-01
err5
errOAAI
errSchmidt-Hieber, Johannes
err分享
err收藏
MULTISCALE METHODS FOR SHAPE CONSTRAINTS IN DECONVOLUTION: CONFIDENCE STATEMENTS FOR QUALITATIVE FEATURES
errANNALS OF STATISTICS
IF3.7
err2013-06-01
err34
errOAAI
errSchmidt-Hieber, Johannes; Munk, Axel; Duembgen, Lutz
err分享
err收藏

研究方向

暂时未获取到该数据
合作学者
合作期刊
A
Axel Munk
H 指数: 42 · 论文数: 322
J
Judith Rousseau
H 指数: 28 · 论文数: 301
T
Timo Aspelmeier
H 指数: 22 · 论文数: 106
M
Markus Reiß
H 指数: 21 · 论文数: 128
L
Lutz Duembgen
H 指数: 7 · 论文数: 48
查看更多