Correction to: Finite mixtures of quantile and M-quantile regression models (Englisch)
- Neue Suche nach: Alfò, Marco
- Neue Suche nach: Salvati, Nicola
- Neue Suche nach: Giovanna, Ranalli M.
- Neue Suche nach: Alfò, Marco
- Neue Suche nach: Salvati, Nicola
- Neue Suche nach: Giovanna, Ranalli M.
In:
Statistics and Computing
;
34
, 1
;
2024
- Aufsatz (Zeitschrift) / Elektronische Ressource
-
Titel:Correction to: Finite mixtures of quantile and M-quantile regression models
-
Weitere Titelangaben:Stat Comput
-
Beteiligte:
-
Erschienen in:Statistics and Computing ; 34, 1
-
Verlag:
- Neue Suche nach: Springer US
-
Erscheinungsort:New York
-
Erscheinungsdatum:01.02.2024
-
ISSN:
-
DOI:
-
Medientyp:Aufsatz (Zeitschrift)
-
Format:Elektronische Ressource
-
Sprache:Englisch
-
Schlagwörter:
-
Datenquelle:
Inhaltsverzeichnis – Band 34, Ausgabe 1
Zeige alle Jahrgänge und Ausgaben
Die Inhaltsverzeichnisse werden automatisch erzeugt und basieren auf den im Index des TIB-Portals verfügbaren Einzelnachweisen der enthaltenen Beiträge. Die Anzeige der Inhaltsverzeichnisse kann daher unvollständig oder lückenhaft sein.
-
Fast and locally adaptive Bayesian quantile smoothing using calibrated variational approximationsOnizuka, Takahiro / Hashimoto, Shintaro / Sugasawa, Shonosuke et al. | 2024
-
Consistent causal inference from time series with PC algorithm and its time-aware extensionBiswas, Rahul / Mukherjee, Somabha et al. | 2024
-
Bayesian tree-based heterogeneous mediation analysis with a time-to-event outcomeSun, Rongqian / Song, Xinyuan et al. | 2024
-
Bootstrapping multiple systems estimates to account for model selectionSilverman, Bernard W. / Chan, Lax / Vincent, Kyle et al. | 2024
-
Explainable generalized additive neural networks with independent neural network trainingOrtega-Fernandez, Ines / Sestelo, Marta / Villanueva, Nora M. et al. | 2024
-
Bayesian projection pursuit regressionCollins, Gavin / Francom, Devin / Rumsey, Kellin et al. | 2024
-
Dimension-independent spectral gap of polar slice samplingRudolf, Daniel / Schär, Philip et al. | 2024
-
Random forest kernel for high-dimension low sample size classificationCavalheiro, Lucca Portes / Bernard, Simon / Barddal, Jean Paul / Heutte, Laurent et al. | 2024
-
Empirical likelihood and estimation in single-index varying-coefficient models with censored dataXue, Liugen et al. | 2024
-
Functional diffusion mapsBarroso, M. / Alaíz, C. M. / Torrecilla, J. L. / Fernández, A. et al. | 2024
-
Randomized self-updating process for clustering large-scale dataShiu, Shang-Ying / Chin, Yen-Shiu / Lin, Szu-Han / Chen, Ting-Li et al. | 2024
-
Generalised likelihood profiles for models with intractable likelihoodsWarne, David J. / Maclaren, Oliver J. / Carr, Elliot J. / Simpson, Matthew J. / Drovandi, Christopher et al. | 2024
-
A multivariate heavy-tailed integer-valued GARCH process with EM algorithm-based inferenceJang, Yuhyeong / Sundararajan, Raanju R. / Barreto-Souza, Wagner et al. | 2024
-
Transformation models with informative partly interval-censored dataJiang, Jingjing / Wang, Chunjie / Pan, Deng / Song, Xinyuan et al. | 2024
-
Integrative sparse reduced-rank regression via orthogonal rotation for analysis of high-dimensional multi-source dataKim, Kipoong / Jung, Sungkyu et al. | 2024
-
Classification of multivariate functional data on different domains with Partial Least Squares approachesMoindjié, Issam-Ali / Dabo-Niang, Sophie / Preda, Cristian et al. | 2024
-
Model-based clustering of multiple networks with a hierarchical algorithmRebafka, Tabea et al. | 2024
-
Power-law distribution in pieces: a semi-parametric approach with change point detectionRamos, Pedro L. / Jerez-Lillo, Nixon / Segovia, Francisco A. / Egbon, Osafu A. / Louzada, Francisco et al. | 2024
-
A data-adaptive dimension reduction for functional data via penalized low-rank approximationPark, Yeonjoo / Oh, Hee-Seok / Lim, Yaeji et al. | 2024
-
Bayesian high-dimensional covariate selection in non-linear mixed-effects models using the SAEM algorithmNaveau, Marion / Kon Kam King, Guillaume / Rincent, Renaud / Sansonnet, Laure / Delattre, Maud et al. | 2024
-
Clusterwise multivariate regression of mixed-type panel dataVávra, Jan / Komárek, Arnošt / Grün, Bettina / Malsiner-Walli, Gertraud et al. | 2024
-
Off-policy evaluation for tabular reinforcement learning with synthetic trajectoriesWang, Weiwei / Li, Yuqiang / Wu, Xianyi et al. | 2024
-
Detecting and diagnosing prior and likelihood sensitivity with power-scalingKallioinen, Noa / Paananen, Topi / Bürkner, Paul-Christian / Vehtari, Aki et al. | 2024
-
ECOPICA: empirical copula-based independent component analysisPi, Hung-Kai / Guo, Mei-Hui / Chen, Ray-Bing / Huang, Shih-Feng et al. | 2024
-
Estimation of a likelihood ratio ordered family of distributionsMösching, Alexandre / Dümbgen, Lutz et al. | 2024
-
Hybrid elicitation and quantile-parametrized likelihoodPerepolkin, Dmytro / Goodrich, Benjamin / Sahlin, Ullrika et al. | 2024
-
A robust model-based clustering based on the geometric median and the median covariation matrixGodichon-Baggioni, Antoine / Robin, Stéphane et al. | 2024
-
Accelerated gradient methods for sparse statistical learning with nonconvex penaltiesYang, Kai / Asgharian, Masoud / Bhatnagar, Sahir et al. | 2024
-
On the f-divergences between densities of a multivariate location or scale familyNielsen, Frank / Okamura, Kazuki et al. | 2024
-
Correction to: Finite mixtures of quantile and M-quantile regression modelsAlfò, Marco / Salvati, Nicola / Giovanna, Ranalli M. et al. | 2024
-
Likelihood-free inference in state-space models with unknown dynamicsAushev, Alexander / Tran, Thong / Pesonen, Henri / Howes, Andrew / Kaski, Samuel et al. | 2024
-
Stochastic variational inference for GARCH modelsXuan, Hanwen / Maestrini, Luca / Chen, Feng / Grazian, Clara et al. | 2024
-
Identifiability of discrete input–output hidden Markov models with external signalsDavid, Étienne / Bellot, Jean / Le Corff, Sylvain / Lehéricy, Luc et al. | 2024
-
Topology-driven goodness-of-fit tests in arbitrary dimensionsDłotko, Paweł / Hellmer, Niklas / Stettner, Łukasz / Topolnicki, Rafał et al. | 2024
-
Multivariate and regression models for directional data based on projected Pólya treesNieto-Barajas, Luis E. et al. | 2024
-
Lévy Langevin Monte CarloOechsler, David et al. | 2024
-
Renewable composite quantile method and algorithm for nonparametric models with streaming dataChen, Yan / Fang, Shuixin / Lin, Lu et al. | 2024
-
Pareto-efficient designs for multi- and mixed-level supersaturated designsSingh, Rakhi et al. | 2024
-
Biclustering multivariate discrete longitudinal dataAlfó, M. / Marino, M. F. / Martella, F. et al. | 2024
-
Randomized time Riemannian Manifold Hamiltonian Monte CarloWhalley, Peter A. / Paulin, Daniel / Leimkuhler, Benedict et al. | 2024
-
High-dimensional local polynomial regression with variable selection and dimension reductionCheung, Kin Yap / Lee, Stephen M. S. et al. | 2024
-
Sparse estimation in high-dimensional linear errors-in-variables regression via a covariate relaxation methodLi, Xin / Wu, Dongya et al. | 2024
-
Privacy-preserving and lossless distributed estimation of high-dimensional generalized additive mixed modelsDaniel, Schalk / Bernd, Bischl / David, Rügamer et al. | 2024
-
A finite mixture model for multiple dependent competing risks with applications of automotive warranty claims dataPrajapati, Deepak / Pal, Ayan / Kundu, Debasis et al. | 2024
-
Comprehensive study of variational Bayes classification for dense deep neural networksBhattacharya, Shrijita / Liu, Zihuan / Maiti, Tapabrata et al. | 2024
-
Efficient probabilistic reconciliation of forecasts for real-valued and count time seriesZambon, Lorenzo / Azzimonti, Dario / Corani, Giorgio et al. | 2024
-
SURE-tuned bridge regressionLoría, Jorge / Bhadra, Anindya et al. | 2024
-
Representation and simulation of multivariate Dickman distributions and Vervaat perpetuitiesGrabchak, Michael / Zhang, Xingnan et al. | 2024
-
Heterogeneous analysis for clustered data using grouped finite mixture modelsLiang, Chunhui / Ma, Wenqing et al. | 2024
-
A generalized expectation model selection algorithm for latent variable selection in multidimensional item response theory modelsShang, Laixu / Zheng, Qian-Zhen / Xu, Ping-Feng / Shan, Na / Tang, Man-Lai et al. | 2024
-
A data-adaptive method for outlier detection from functional dataLakra, Arjun / Banerjee, Buddhananda / Laha, Arnab Kumar et al. | 2024
-
Estimation of extreme quantiles from heavy-tailed distributions with neural networksAllouche, Michaël / Girard, Stéphane / Gobet, Emmanuel et al. | 2024
-
Modeling volatility for high-frequency data with rounding error: a nonparametric Bayesian approachLiang, Wanwan / Wu, Ben / Zhang, Bo et al. | 2024
-
NuZZ: Numerical Zig-Zag for general modelsPagani, Filippo / Chevallier, Augustin / Power, Sam / House, Thomas / Cotter, Simon et al. | 2024
-
A framework of regularized low-rank matrix models for regression and classificationHuang, Hsin-Hsiung / Yu, Feng / Fan, Xing / Zhang, Teng et al. | 2024
-
Point process simulation of generalised hyperbolic Lévy processesKındap, Yaman / Godsill, Simon et al. | 2024
-
Variational inference for Bayesian bridge regressionZanini, Carlos Tadeu Pagani / Migon, Helio S. / Dias, Ronaldo et al. | 2024
-
Cauchy robust principal component analysis with applications to high-dimensional data setsFayomi, Aisha / Pantazis, Yannis / Tsagris, Michail / Wood, Andrew T. A. et al. | 2024
-
Online estimation and community detection of network point processes for event streamsFang, Guanhua / Ward, Owen G. / Zheng, Tian et al. | 2024
-
Doubly robust estimation and robust empirical likelihood in generalized linear models with missing responsesXue, Liugen et al. | 2024
-
Likelihood-based surrogate dimension reductionNghiem, Linh H. / Hui, Francis K. C. / Muller, Samuel / Welsh, A. H. et al. | 2024