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OALib Journal期刊
ISSN: 2333-9721
费用:99美元
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Identifiability in penalized function-on-function regression models
Fabian Scheipl
,
Sonja Greven
A Unified Treatment of Predictive Model Comparison
Michael Betancourt
The Two-envelope Problem: An Informed Choice
Jeffrey Brian Tyler
Maximum likelihood drift estimation for the mixing of two fractional Brownian motions
Yuliya Mishura
The causal inference paradigm for network meta-analysis with implications for feasibility and practice
Mireille E. Schnitzer
,
Russell J. Steele
,
Michèle Bally
,
Ian Shrier
Longitudinal Functional Data Analysis
So Young Park
,
Ana-Maria Staicu
Bayes-Optimal Sequential Multi-Hypothesis Testing in Exponential Families
Jue Wang
Parallel Markov Chain Monte Carlo for Non-Gaussian Posterior Distributions
Alexey Miroshnikov
,
Erin M. Conlon
Behaviour of ABC for Big Data
Wentao Li
,
Paul Fearnhead
A Linear Model for Interval-valued Data
Yan Sun
,
Dan Ralescu
Risks aggregation in multivariate dependent Pareto distributions
José María Sarabia
,
Emilio Gómez-Déniz
,
Faustino Prieto
,
Vanesa Jordá
Interpretation and testing of point forecasts with unkown directive
Patrick Schmidt
,
Matthias Katzfu?
Towards a better understanding of the dual representation of phi divergences
Diaa Al Mohamad
Local Optimization of Black-Box Function with High or Infinite-Dimensional Inputs
Angelina Roche
Singular prior distributions in Bayesian D-optimal design for nonlinear models
Timothy W. Waite
A Theoretical and Empirical Comparison of the Temporal Exponential Random Graph Model and the Stochastic Actor-Oriented Model
Philip Leifeld
,
Skyler J. Cranmer
Bernstein Polynomial Model for Grouped Continuous Data
Zhong Guan
Modeling with a Large Class of Unimodal Multivariate Distributions
Marina S. Paez
,
Stephen G. Walker
Combining and Extremizing Real-Valued Forecasts
Ville Satop??
,
Lyle Ungar
A Prediction Divergence Criterion for Model Selection
Stephane Guerrier
,
Maria-Pia Victoria-Feser
Optimal scaling of the independence sampler: Theory and Practice
Peter Neal
,
Tsun Man Clement Lee
A note on the computation of Wasserstein barycenters
Pedro C. álvarez-Esteban
,
E. del Barrio
,
J. A. Cuesta-Albertos
,
C. Matrán
The Correlated Pseudo-Marginal Method
George Deligiannidis
,
Arnaud Doucet
,
Michael K. Pitt
Sequential estimation of intrinsic activity and synaptic input in single neurons by particle filtering with optimal importance density
Pau Closas
,
Antoni Guillamon
Granger Causality in Multi-variate Time Series using a Time Ordered Restricted Vector Autoregressive Model
Elsa Siggiridou
,
Dimitris Kugiumtzis
Efficient MCMC implementation of multi-state mark-recapture models
Jessica H Ford
,
Toby A Patterson
,
Mark V Bravington
Modelling latent individual heterogeneity in mark-recapture data with Dirichlet process priors
Jessica H Ford
,
Toby A Patterson
,
Mark V Bravington
Sparse Linear Models applied to Power Quality Disturbance Classification
Andrés F. López-Lopera
,
Mauricio A. álvarez
,
ávaro A. Orozco
Bayesian binary quantile regression for the analysis of Bachelor-Master transition
Cristina Mollica
,
Lea Petrella
Statistical Properties of the Single Linkage Hierarchical Clustering Estimator
Dekang Zhu
,
Dan P. Guralnik
,
Xuezhi Wang
,
Xiang Li
,
Bill Moran
Unsupervised Adaptation of SPLDA
Jesús Villalba
Bayesian SPLDA
Jesús Villalba
Spherical Cap Packing Asymptotics and Rank-Extreme Detection
Kai Zhang
PLDA with Two Sources of Inter-session Variability
Jesús Villalba
Switched Dynamical Latent Force Models for Modelling Transcriptional Regulation
Andrés F. López-Lopera
,
Mauricio A. álvarez
Stochastic Parallel Block Coordinate Descent for Large-scale Saddle Point Problems
Zhanxing Zhu
,
Amos J. Storkey
Kernel Additive Principal Components
Xin Lu Tan
,
Andreas Buja
,
Zongming Ma
Variational Bayes Factor Analysis for i-Vector Extraction
Jesús Villalba
Simple, Fast and Accurate Photometric Estimation of Specific Star Formation Rate
Kristoffer Stensbo-Smidt
,
Fabian Gieseke
,
Christian Igel
,
Andrew Zirm
,
Kim Steenstrup Pedersen
A Random Forest Guided Tour
Gérard Biau
,
Erwan Scornet
Lass-0: sparse non-convex regression by local search
William Herlands
,
Maria De-Arteaga
,
Daniel Neill
,
Artur Dubrawski
Partial Membership Latent Dirichlet Allocation
Chao Chen
,
Alina Zare
,
J. Tory Cobb
Black-box $α$-divergence Minimization
José Miguel Hernández-Lobato
,
Yingzhen Li
,
Daniel Hernández-Lobato
,
Thang Bui
,
Richard E. Turner
Probabilistic Segmentation via Total Variation Regularization
Matt Wytock
,
J. Zico Kolter
$k$-means: Fighting against Degeneracy in Sequential Monte Carlo with an Application to Tracking
Kai Fan
,
Katherine Heller
Automatic Inference of the Quantile Parameter
Karthikeyan Natesan Ramamurthy
,
Aleksandr Y. Aravkin
,
Jayaraman J. Thiagarajan
PAC-Bayesian High Dimensional Bipartite Ranking
Benjamin Guedj
,
Sylvain Robbiano
Information Extraction Under Privacy Constraints
Shahab Asoodeh
,
Mario Diaz
,
Fady Alajaji
,
Tamás Linder
Signed Support Recovery for Single Index Models in High-Dimensions
Matey Neykov
,
Qian Lin
,
Jun S. Liu
Stochastic Expectation Propagation for Large Scale Gaussian Process Classification
Daniel Hernández-Lobato
,
José Miguel Hernández-Lobato
,
Yingzhen Li
,
Thang Bui
,
Richard E. Turner
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