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Non‐parametric regression 2 Adaptive smoothing 1 Almost periodic intensity function 1 Anticoncentration bounds 1 Bartlett periodogram 1 Benjamini–Hochberg 1 Block Gibbs sampler 1 Central partial mean subspace 1 Copy number variation 1 Dimension reduction 1 Efficient estimation 1 Efficient testing 1 Emotional stimuli 1 Errors in variables 1 Estimation 1 Functional data analysis 1 Generalized additive mixed model 1 Generalized additive model 1 Generalized cross‐validation 1 Goodness‐of‐fit tests 1 Independent Hypothesis Weighting 1 Local alternatives 1 Local and global clustering 1 Long‐run variance 1 Marginal likelihood 1 Measurement error 1 Model selection 1 Multiscale statistics 1 Non‐homogeneous Poisson process 1 On‐line video rating 1 Partial exchangeability 1 Partial ordinary least squares 1 Partially linear single‐index model 1 Partition models 1 Penalized generalized linear model 1 Penalized regression splines 1 Point process 1 Prediction 1 Quasi‐maximum‐likelihood 1 Restricted maximum likelihood 1
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Undetermined 289 Free 10
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Article 896
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Article 4
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Undetermined 707 English 189
Author
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Hall, Peter 36 Carroll, Raymond J. 12 Fearnhead, Paul 10 Ma, Yanyuan 9 Bühlmann, Peter 8 Fan, Jianqing 8 Qin, Jing 8 Roberts, Gareth O. 8 Delaigle, Aurore 7 Dette, Holger 7 Doucet, Arnaud 7 Tibshirani, Robert 7 Leng, Chenlei 6 Roberts, G. O. 6 Small, Dylan S. 6 Tony Cai, T. 6 Cai, T. Tony 5 Casella, G. 5 Davison, A. C. 5 Geng, Zhi 5 Hastie, Trevor 5 Keilegom, Ingrid Van 5 Li, Lexin 5 Liu, Jun S. 5 Lv, Jinchi 5 Møller, J. 5 Müller, Hans-Georg 5 Nason, Guy P. 5 Papaspiliopoulos, Omiros 5 Robert, C. P. 5 Robert, Christian P. 5 Samworth, Richard J. 5 Shao, Xiaofeng 5 Yao, Qiwei 5 Chatterjee, Nilanjan 4 Chen, Yi-Hau 4 Chiou, Jeng-Min 4 Cook, R. Dennis 4 Copas, John 4 Cox, D. R. 4
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Journal of the Royal Statistical Society Series B 707 Journal of the Royal Statistical Society: Series B (Statistical Methodology) 189
Source
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RePEc 707 Other ZBW resources 185 EconStor 4
Showing 1 - 10 of 896
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Seconder of the vote of thanks to Vansteelandt and Dukes and contribution to the Discussion of ‘Assumption‐lean inference for generalised linear model parameters’
Didelez, Vanessa - In: Journal of the Royal Statistical Society: Series B … 84 (2022) 3, pp. 689-691
Persistent link: https://www.econbiz.de/10013380589
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Covariate powered cross‐weighted multiple testing
Ignatiadis, Nikolaos; Huber, Wolfgang - In: Journal of the Royal Statistical Society: Series B … 83 (2021) 4, pp. 720-751
A fundamental task in the analysis of data sets with many variables is screening for associations. This can be cast as a multiple testing task, where the objective is achieving high detection power while controlling type I error. We consider m hypothesis tests represented by pairs...
Persistent link: https://www.econbiz.de/10014485949
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Superconsistent estimation of points of impact in non‐parametric regression with functional predictors
Poß, Dominik; Liebl, Dominik; Kneip, Alois; … - In: Journal of the Royal Statistical Society: Series B … 82 (2020) 4, pp. 1115-1140
Predicting scalar outcomes by using functional predictors is a classical problem in functional data analysis. In many applications, however, only specific locations or time points of the functional predictors have an influence on the outcome. Such ‘points of impact’ are typically unknown and...
Persistent link: https://www.econbiz.de/10012620996
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Multiscale inference and long‐run variance estimation in non‐parametric regression with time series errors
Khismatullina, Marina; Vogt, Michael - In: Journal of the Royal Statistical Society: Series B … 82 (2019) 1, pp. 5-37
We develop new multiscale methods to test qualitative hypotheses about the function m in the non-parametric regression model Yt,T=m(t/T)+ɛt with time series errors ɛt. In time series applications, m represents a non-parametric time trend. Practitioners are often interested in whether the trend...
Persistent link: https://www.econbiz.de/10012428636
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Anchor regression : Heterogeneous data meet causality
Rothenhäusler, Dominik; Meinshausen, Nicolai; … - In: Journal of the Royal Statistical Society: Series B … 83 (2021) 2, pp. 215-246
Persistent link: https://www.econbiz.de/10012538897
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Gibbs flow for approximate transport with applications to Bayesian computation
Heng, Jeremy; Doucet, Arnaud; Pokern, Yvo - In: Journal of the Royal Statistical Society: Series B … 83 (2021) 1, pp. 156-187
Persistent link: https://www.econbiz.de/10012538898
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Iterative Alpha Expansion for estimating gradient‐sparse signals from linear measurements
Xu, Sheng; Fan, Zhou - In: Journal of the Royal Statistical Society: Series B … 83 (2021) 2, pp. 271-292
Persistent link: https://www.econbiz.de/10012538899
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Estimation and clustering in popularity adjusted block model
Noroozi, Majid; Rimal, Ramchandra; Pensky, Marianna - In: Journal of the Royal Statistical Society: Series B … 83 (2021) 2, pp. 293-317
Persistent link: https://www.econbiz.de/10012538900
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On the optimality of randomization in experimental design : How to randomize for minimax variance and design‐based inference
Kallus, Nathan - In: Journal of the Royal Statistical Society: Series B … 83 (2021) 2, pp. 404-409
Persistent link: https://www.econbiz.de/10012538901
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Estimating optimal treatment rules with an instrumental variable : A partial identification learning approach
Pu, Hongming; Zhang, Bo - In: Journal of the Royal Statistical Society: Series B … 83 (2021) 2, pp. 318-345
Persistent link: https://www.econbiz.de/10012538902
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