Calibrated adversarial algorithms for generative modelling (English)
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In:
Stat
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8
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2019
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ISSN:
- Article (Journal) / Electronic Resource
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Title:Calibrated adversarial algorithms for generative modelling
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Contributors:
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Published in:Stat ; 8, 1
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Publisher:
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Publication date:2019-01-01
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Size:14 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 8, Issue 1
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
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A general framework for multivariate functional principal component analysis of amplitude and phase variationHapp, Clara / Scheipl, Fabian / Gabriel, Alice‐Agnes / Greven, Sonja et al. | 2019
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On the strong consistency of feature‐weighted k‐means clustering in a nearmetric spaceChakraborty, Saptarshi / Das, Swagatam et al. | 2019
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Sparse spectral estimation with missing and corrupted measurementsElsener, Andreas / van de Geer, Sara et al. | 2019
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Stochastic volatility generated by product autoregressive modelsMuhammed Anvar, P. / Balakrishna, Narayana / Abraham, Bovas et al. | 2019
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Estimating the number of signals using principal component analysisVirta, Joni / Nordhausen, Klaus et al. | 2019
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Re‐evaluating composite scores: Adaptive Lasso variable selection for non‐linear modelsKravitz, Eli S. / Carroll, Raymond J. et al. | 2019
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Deep latent variable models for generating knockoffsLiu, Ying / Zheng, Cheng et al. | 2019
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Doubly robust estimation in observational studies with partial interferenceLiu, Lan / Hudgens, Michael G. / Saul, Bradley / Clemens, John D. / Ali, Mohammad / Emch, Michael E. et al. | 2019
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Modelling and estimation for optimal treatment decision with interferenceSu, Lin / Lu, Wenbin / Song, Rui et al. | 2019
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On confidence intervals centred on bootstrap smoothed estimatorsKabaila, Paul / Wijethunga, Christeen et al. | 2019
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A regression discontinuity stochastic frontier model with an application to educational attainmentJohnes, Geraint / Tsionas, Mike G. et al. | 2019
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Inference in receiver operating characteristic surface analysis via a trinormal model‐based testing approachNoll, Samuel / Furrer, Reinhard / Reiser, Benjamin / Nakas, Christos T. et al. | 2019
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Asymptotic normality of the time‐domain generalized least squares estimator for linear regression modelsNguyen, Hien D. et al. | 2019
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Which principal components are most sensitive in the change detection problem?Tveten, Martin et al. | 2019
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Modified tests for exponentiality in the presence of Type II right censored dataCockeran, Marike / Santana, Leonard / Allison, James S. et al. | 2019
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On the construction of knockoffs in case–control studiesBarber, Rina Foygel / Candès, Emmanuel et al. | 2019
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Distributed inference for degenerate U‐statisticsAtta‐Asiamah, Ernest / Yuan, Mingao et al. | 2019
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Set‐based differential covariance testing for genomicsZhou, Yi‐Hui et al. | 2019
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Doubly robust‐type estimation of population moments and parameters in biased samplingShimizu, Yuya / Hoshino, Takahiro et al. | 2019
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Testing conditional independence and homogeneity in large sparse three‐way tables using conditional distance covarianceZhang, Qingyang / Tinker, Jian et al. | 2019
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Visualizations for interrogations of multi‐armed banditsKeaton, Timothy J. / Sabbaghi, Arman et al. | 2019
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A note on cyclic shift permutation testing for large eigenvaluesZhou, Yi‐Hui et al. | 2019
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Additive partially linear models for ultra‐high‐dimensional regressionLi, Xinyi / Wang, Li / Nettleton, Dan et al. | 2019
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A new position weight correlation coefficient for consensus ranking process without tiesPlaia, Antonella / Buscemi, Simona / Sciandra, Mariangela et al. | 2019
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Tensor canonical correlation analysisMin, Eun Jeong / Chi, Eric C. / Zhou, Hua et al. | 2019
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On selection of semiparametric spatial regression modelsWang, Guannan / Wang, Jue et al. | 2019
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Sampling sup‐normalized spectral functions for Brown–Resnick processesOesting, Marco / Schlather, Martin / Schillings, Claudia et al. | 2019
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Multiresolution clustering of dependent functional data with application to climate reconstructionAbramowicz, Konrad / Schelin, Lina / Sjöstedt de Luna, Sara / Strandberg, Johan et al. | 2019
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Efficient inference of generalized spatial fusion models with flexible specificationWang, Craig / Furrer, Reinhard et al. | 2019
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Differential variation and expression analysisBar, Haim / Schifano, Elizabeth D. et al. | 2019
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A multiattribute cumulative sum‐np chartChong, Nger Ling / Khoo, Michael B.C. / Haridy, Salah / Shamsuzzaman, Mohammad et al. | 2019
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A bootstrap‐augmented alternating expectation‐conditional maximization algorithm for mixtures of factor analyzersShreeves, Phillip / Andrews, Jeffrey L. et al. | 2019
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Logistic regression error‐in‐covariate models for longitudinal high‐dimensional covariatesPark, Hyung / Lee, Seonjoo et al. | 2019
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Issue Information| 2019
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Sharpen statistical significance: Evidence thresholds and Bayes factors sharpened into Occam's razorBickel, David R. et al. | 2019
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Efficient composite likelihood for a scalar parameter of interestPace, Luigi / Salvan, Alessandra / Sartori, Nicola et al. | 2019
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Recycled estimates for nonlinear regression modelsZhang, Yue / Boukai, Ben et al. | 2019
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Weak convergence of TJW product‐limit estimator under associationShabani, Amir Hossein / Jabbari, Hadi / Fakoor, Vahid et al. | 2019
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Full likelihood inference for max‐stable dataHuser, Raphaël / Dombry, Clément / Ribatet, Mathieu / Genton, Marc G. et al. | 2019
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Calibrated adversarial algorithms for generative modellingTan, Zhiqiang / Song, Yunfu / Ou, Zhijian et al. | 2019
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Connections between cure rates and survival probabilities in proportional hazards modelsLin, Li‐Hsiang / Huang, Li‐Shan et al. | 2019
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Improving computational performance in likelihood‐based network clusteringBallard, Alan / Perry, Marcus B. et al. | 2019
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Lagged principal trend analysis for longitudinal high‐dimensional dataZhang, Yuping et al. | 2019
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Marginal maximum likelihood estimation of conditional autoregressive models with missing dataSuesse, Thomas / Zammit‐Mangion, Andrew et al. | 2019