yusuke1997/dblp-id-title huggingface dataset:
An objective general index for multivariate ordered data
Independent component analysis for tensor-valued data
On connectivity of fibers with positive marginals in multiple logistic regression
Comparison of Bartlett-type adjusted tests in the multiparameter case
Predictor ranking and false discovery proportion control in high-dimensional regression
A natural parametrization of multivariate distributions with limited memory
Adaptive global thresholding on the sphere
Maximum likelihood estimation for multivariate skew normal mixture models
Simultaneous inference for Kendall's tau
On covariation estimation for multivariate continuous Itô semimartingales with noise in non-synchronous observation schemes
Marginal regression analysis of clustered failure time data with a cure fraction
A new class of minimum power divergence estimators with applications to cancer surveillance
Varying-coefficient quantile regression with effect under panel data and missing observation
Hierarchical subspace models for contingency tables
Nonparametric bootstrap tests of conditional independence in two-way contingency tables
Central limit theorem and bootstrap procedure for Wasserstein's variations with an application to structural relationships between distributions
Data driven orthogonal basis selection for functional data analysis
Estimating the error distribution in nonparametric multiple regression with applications to model testing
The consistency and asymptotic normality of the kernel type expectile regression estimator for functional data
Analysis of NMAR missing data without specifying missing-data mechanisms in a linear latent variate model
On bivariate Weibull-Geometric distribution
Moderate deviation principles for classical likelihood ratio tests of high-dimensional normal distributions
Simplified pair copula constructions - Limitations and extensions
Targeted principal components regression
Generalized implementation of invariant coordinate selection with positive semi-definite scatter matrices
Meta densities and the shape of their sample clouds
A Bayesian semiparametric dynamic two-level structural equation model for analyzing non-normal longitudinal data
Nonparametric Berkson regression under normal measurement error and bounded design
Bootstrapping in non-regular smooth function models
High-dimensional data: a fascinating statistical challenge
Sibuya copulas
On small area estimation under a sub-area level model
An admissibility proof using an adaptive sequence of smoother proper priors approaching the target improper prior
Equivalence and orthogonality of Gaussian measures on spheres
Adaptive nonparametric regression on spin fiber bundles
Predictive nonlinear biplots: Maps and trajectories
Mean vector testing for high-dimensional dependent observations
A unified approach to decision-theoretic properties of the MLEs for the mean directions of several Langevin distributions
Two-sample test for high-dimensional covariance matrices: A normal-reference approach
A 50-year personal journey through time with principal component analysis
Decomposability of high-dimensional diversity measures: Quasi-U-statistics, martingales and nonstandard asymptotics
Strongly consistent autoregressive predictors in abstract Banach spaces
Bayesian prediction with multiple-samples information
On decompositional algorithms for uniform sampling from n-spheres and n-balls
Generalized Marshall-Olkin distributions and related bivariate aging properties
Extremes of aggregated Dirichlet risks
A class of smooth, possibly data-adaptive nonparametric copula estimators containing the empirical beta copula
Consistency, bias and efficiency of the normal-distribution-based MLE: The role of auxiliary variables
Asymptotic expansion for distribution of the trace of a covariance matrix under a two-step monotone incomplete sample
High-dimensional rank tests for sphericity
Partially Schur-constant models
New algorithms for M-estimation of multivariate scatter and location
Graph-constrained analysis for multivariate functional data
Quantization and clustering with Bregman divergences
Asymptotically efficient estimation under semi-parametric random censorship models
Multivariate versions of Bartlett's formula
Jump detection in single-index models with measurement error
On the generalized domain of attraction of the multivariate normal law and asymptotic normality of the multivariate Student t-statistic
Nonparametric kernel regression estimation for functional stationary ergodic data: Asymptotic properties
Posterior analysis of rare variants in Gibbs-type species sampling models
The Fine-Gray model under interval censored competing risks data
Consistent Bayesian sparsity selection for high-dimensional Gaussian DAG models with multiplicative and beta-mixture priors
Multivariate random effect models with complete and incomplete data
Projection theorems and estimating equations for power-law models
Estimation of the precision matrix of multivariate Kotz type model
Conditioned limit laws for inverted max-stable processes
A uniform kernel trick for high and infinite-dimensional two-sample problems
Measures of concordance and testing of independence in multivariate structure
Dependence structure estimation using Copula Recursive Trees
High-dimensional mean estimation via l 1 penalized normal likelihood
Estimating high dimensional covariance matrices: A new look at the Gaussian conjugate framework
On the exploration of regression dependence structures in multidimensional contingency tables with ordinal response variables
Distance correlation coefficients for Lancaster distributions
Copulae on products of compact Riemannian manifolds
A review of copula models for economic time series
Asymptotics of Bayesian median loss estimation
A bootstrap-based KPSS test for functional time series
On the weak convergence of the empirical conditional copula under a simplifying assumption
Mean and covariance estimation for discretely observed high-dimensional functional data: Rates of convergence and division of observational regimes
Multivariate logistic regression with incomplete covariate and auxiliary information
Minimum Average Variance Estimation with group Lasso for the multivariate response Central Mean Subspace
GARCH-type factor model
Weyl eigenvalue asymptotics and sharp adaptation on vector bundles
Spline estimator for simultaneous variable selection and constant coefficient identification in high-dimensional generalized varying-coefficient models
Evaluating panel data forecasts under independent realization
Influence assessment in censored mixed-effects models using the multivariate Student's-t distribution
Expected predictive least squares for model selection in covariance structures
A study of the effect of kurtosis on discriminant analysis under elliptical populations
MATS: Inference for potentially singular and heteroscedastic MANOVA
Sampling, conditionalizing, counting, merging, searching regular vines
Kriging prediction for manifold-valued random fields
Some comments on goodness-of-fit tests for the parametric form of the copula based on L 2 -distances
Cornish-Fisher expansions using sample cumulants and monotonic transformations
Tail order and intermediate tail dependence of multivariate copulas
On the Durbin-Wagle randomization device and some of its applications
Beyond simplified pair-copula constructions
Construction and sampling of Archimedean and nested Archimedean Lévy copulas
Simultaneous confidence bands for contrasts between several nonlinear regression curves
Depth notions for orthogonal regression
Explicit estimators of parameters in the Growth Curve model with linearly structured covariance matrices
Quantifying prediction uncertainty for functional-and-scalar to functional autoregressive models under shape constraints
Restricted one way analysis of variance using the empirical likelihood ratio test
Nonparametric confidence regions for the central orientation of random rotations
Flexible nonlinear inference and change-point testing of high-dimensional spectral density matrices
A multivariate extension of Sarhan and Balakrishnan's bivariate distribution and its ageing and dependence properties
Simultaneous estimation of linear conditional quantiles with penalized splines
Spatial sign correlation
Exponential bounds for regularized Hotelling's T2 statistic in high dimension
Wild bootstrap bandwidth selection of recursive nonparametric relative regression for independent functional data
The singular values and vectors of low rank perturbations of large rectangular random matrices
Bayesian model diagnostics using functional Bregman divergence
High-dimensional asymptotic expansion of LR statistic for testing intraclass correlation structure and its error bound
Uniform limit theorems for a class of conditional Z-estimators when covariates are functions
Weighted ℓ 1 -penalized corrected quantile regression for high dimensional measurement error models
Variable selection for general transformation models with right censored data via nonconcave penalties
On the asymptotic normality and efficiency of Kronecker envelope principal component analysis
Feasible ridge estimator in partially linear models
Towards theory of generic Principal Component Analysis
Statistical analysis of parsimonious high-order multivariate finite Markov chains based on sufficient statistics
Asymptotic properties on high-dimensional multivariate regression M-estimation
Penalized empirical likelihood for high-dimensional partially linear varying coefficient model with measurement errors
Identifiability of a model for discrete frequency distributions with a multidimensional parameter space
Flexible modeling based on copulas in nonparametric median regression
Model-based principal components of correlation matrices
Bayesian sparse reduced rank multivariate regression
The Dirichlet Markov Ensemble
On the structure of the quadratic subspace in discriminant analysis
Unbiased risk estimates for matrix estimation in the elliptical case
Generalized Bayes minimax estimation of the normal mean matrix with unknown covariance matrix
Variable selection in robust regression models for longitudinal data
Multivariate limited translation hierarchical Bayes estimators
Empirical likelihood for a varying coefficient partially linear model with diverging number of parameters
Region selection in Markov random fields: Gaussian case
A robust and efficient estimation and variable selection method for partially linear single-index models
Schrödinger bridge based deep conditional generative learning
Change-point detection and bootstrap for Hilbert space valued random fields
Some remarks on Koziol's kurtosis
Improved estimation in multiple linear regression models with measurement error and general constraint
Sequential order statistics with an order statistics prior
Adaptive estimation in the functional nonparametric regression model
Sensitivity to hyperprior parameters in Gaussian Bayesian networks
High-dimensional hypothesis testing for allometric extension model
Radial basis function regularization for linear inverse problems with random noise
Rank-based combination independence tests for high-dimensional data
The multilinear normal distribution: Introduction and some basic properties
Stochastic comparisons and multivariate dependence for the epoch times of trend renewal processes
Closed-form and bias-corrected estimators for the bivariate gamma distribution
Shape mixtures of multivariate skew-normal distributions
A bivariate failure time model with random shocks and mixed effects
Comparison of a large number of regression curves
An approximation to peak detection power using Gaussian random field theory
Inference for mixed models of ANOVA type with high-dimensional data
High dimensional change point inference: Recent developments and extensions
Multivariate initial sequence estimators in Markov chain Monte Carlo
Extending the multivariate generalised t and generalised VG distributions
Recovery of partly sparse and dense signals
On the limiting distribution of the spatial scan statistic
Asymptotic normality and confidence intervals for inverse regression models with convolution-type operators
High dimensional mean-variance optimization through factor analysis
Extreme value theory for stochastic integrals of Legendre polynomials
Projection based scatter depth functions and associated scatter estimators
Hierarchical Archimax copulas
Dimension-wise scaled normal mixtures with application to finance and biometry
Some high-dimensional one-sample tests based on functions of interpoint distances
Online stochastic Newton methods for estimating the geometric median and applications
An asymptotics look at the generalized inference
Conditional estimation for dependent functional data
Asymptotic properties of a conditional quantile estimator with randomly truncated data
On the Mai-Wang stochastic decomposition for ℓp-norm symmetric survival functions on the positive orthant
On the consistency of inversion-free parameter estimation for Gaussian random fields
Modeling covariance matrices via partial autocorrelations
The Dual Central Subspaces in dimension reduction
Domains of weak continuity of statistical functionals with a view toward robust statistics
Penalized generalized empirical likelihood in high-dimensional weakly dependent data
On the right spread order of convolutions of heterogeneous exponential random variables
Detection and localization of changes in a panel of densities
Characterization of multivariate heavy-tailed distribution families via copula
Reconstruction of atomic measures from their halfspace depth
On directional multiple-output quantile regression
Graphical models via joint quantile regression with component selection
Threshold models for high-dimensional time series with network structure
The joint distribution of Studentized residuals under elliptical distributions
Estimation of generalized linear latent variable models via fully exponential Laplace approximation
On the oracle property of a generalized adaptive elastic-net for multivariate linear regression with a diverging number of parameters
Asymptotic distribution of two-sample empirical U-quantiles with applications to robust tests for shifts in location
Asymptotic properties of wavelet estimators in semiparametric regression models under dependent errors
Bias-corrected inference for multivariate nonparametric regression: Model selection and oracle property
Tuning-free sparse clustering via alternating hard-thresholding
Asymptotic properties of canonical correlation analysis for one group with additional observations
Estimation of spatial autoregressive models with covariate measurement errors
Multivariate estimation of Poisson parameters
Bootstrap for dependent Hilbert space-valued random variables with application to von Mises statistics
Estimation and inference for dependence in multivariate data
Modified conditional AIC in linear mixed models
A review of multivariate permutation tests: Findings and trends
Uncertainty under a multivariate nested-error regression model with logarithmic transformation
Skew-rotationally-symmetric distributions and related efficient inferential procedures
Minimaxity in predictive density estimation with parametric constraints
Efficient inference for autoregressive coefficients in the presence of trends
An RKHS-based approach to double-penalized regression in high-dimensional partially linear models
Moments of the doubly truncated selection elliptical distributions with emphasis on the unified multivariate skew-t distribution
On the use of the Gram matrix for multivariate functional principal components analysis
Limiting laws for extreme eigenvalues of large-dimensional spiked Fisher matrices with a divergent number of spikes
The distribution of the amplitude and phase of the mean of a sample of complex random variables
Worst possible sub-directions in high-dimensional models
Optimal designs for mixed continuous and binary responses with quantitative and qualitative factors
Order selection for regression-based hidden Markov model
An equation-by-equation estimator of a multivariate log-GARCH-X model of financial returns
Minimax optimal estimation of general bandable covariance matrices
Joint rank and variable selection for parsimonious estimation in a high-dimensional finite mixture regression model
Coefficient of determination for multiple measurement error models
Copula based factorization in Bayesian multivariate infinite mixture models
On the extensions of Barlow-Proschan importance index and system signature to dependent lifetimes
Non-parametric shrinkage mean estimation for quadratic loss functions with unknown covariance matrices
Ein Situierter Künstlicher Kommunikator für Konstruktionsaufgaben
The dynamics of cognition: An ACT-R model of cognitive arithmetic
Wie können Ressourcenbeschränkungen eines Dialogpartners erkannt und berücksichtigt werden?
Dynamische Konzeptverarbeitung mit imaginalen und assoziativen Strukturen
Abstraction and Individual Style in Syllogistic and Heterogeneous Reasoning / Abstraktionen und individuelle Stile beim syllogistischen und heterogenen Schließen
Visuelle und räumliche Interferenzen beim Schlußfolgern / Visual and Spatial Interference in Deductive Reasoning
Konfliktresolution beim Sprachverstehen
Gehirn und Gestalt II. Neuronale Mechanismen
Knowledge level learning and the power law: A soar model of skill acquisition in scheduling
Ein psychologisch-onomasiologischer Ansatz zur Auffassung raeumlicher Objektrelationen und ihrem sprachlichen Ausdruck: Inklusion und Kontakt
Leitthema: Analogien
Neubewertung kognitiver Leistungen im Lichte der Fähigkeiten einzelliger Lebewesen
A multidisciplinary viewpoint on European research on collaborative learning - Europaeische Forschung zu "Collaborative Learning" in multidisziplinaerer Perspektive
Leitthema: Benutzer- und Lernermodellierung
Kommunikative Rhythmen in Gestik und Sprache
Berufspraxisfelder der Kognitionswissenschaft, Bericht der Berufspraxiskommission (BPK) der Gesellschaft für Kognitionswissenschaft (GK) für den Zeitraum 10/94-2/96
Spatial cognition: Behavioral competences, neural mechanisms, and evolutionary scaling
Denken als Rechenprozedur: Zur Genese einer kognitionswissenschaftlichen Paradigmas
Gedanken zu einer neuen Theorie der Kognition - Das Buch von T. Winograd / F. Flores: Erkenntnis - Maschinen - Verstehen, Zur Neugestaltung von Computerssystemen
The Effect of an Irrelevant Premise on Temporal and Spatial Reasoning / Zum Einfluß irrelevanter Prämissen auf das zeitliche und räumliche Schließen
Mentale Datenmodelle - Lernen und Wiedererkennen bei mehrstelligen Relationen
Kooperatives Lernen auf der Grundlage komplementaeren Vorwissens: ein Experiment und eine Simulationsstudie
Räumliches Schliessen als Sprachverstehen
4. Frühjahrstreffen der kognitionswissenschaftlichen Graduiertenkollegs Freiburg, Hamburg und Saarbrücken
<Omega>MEGA: Ein mathematisches Assistenzsystem
Kognitionswissenschaft: eine Interdisziplin
Steuerung der Inferenz in der Diskursverarbeitung
Präferierte mentale Modelle beim räumlich-relationalen Schließen: Empirie und kognitive Modellierung
Analyse und Modellierung computergestuetzten kooperativen Lernens
Wissenserwerb und Performanz bei der Regelung komplexer Systeme / Knowledge Acquisition and Performance in the Control of Complex Systems
Beweisen durch Analogie
Mitteilungen der Gesellschaft fuer Kognitionswissenschaft e.V
Programmieren durch analoges Schließen
The puzzle of language evolution
Rekonstruktion von Theorieübergängen: Tag/Nachtzyklus-Erklärungen von Kindern verschiedener Altersgruppen
Piktorielle Repräsentationen als unterbestimmte räumliche Modelle / Pictorial Representations as Underdetermined Spatial Models
Syntax- und Semantikkoordination im Dialog
Editorial des Herausgebers
Bevorzugte Teiltheorien: Wissensrevision in einem Ansatz zum Default-Schließen
Leitthema: Räumliche mentale Modelle / Spatial Mental Models
Die Selektion dimensionaler räumlicher Präpositionen: automatisch und nicht ressourcenadaptierend
Modeling pedagogical interactions with machine learning
Kognitive Lernermodellierung
Spatial Mental Models in Linear Reasoning / Räumliche mentale Modelle und lineare Syllogismen
Bildkategoriales Lernen - Learning image categories
KOGWIS96: Wie interdisziplinär?
Semantische Aspekte und konzeptuelle Aspekte der Weg-Präposition durch
Zur Verarbeitung räumlicher Informationen: Modelle und Experimente
Das Lösen rekursiver Programmierprobleme: Ein Simulationsmodell
Neue Medien, neue Forschungsinitiativen
Kontexteffekte und Routenwissen / Context effects and route knowledge
Das Langzeitgedächtnis als Boltzmann-Maschine Eine Simulation mentaler Datenmodelle
Begriffliche und empirische Fragen der Kausalkognition
Konzeptualisierung in inkrementell-integrativer Sprachverarbeitung
5. Fachtagung der Gesellschaft für Kognitionswissenschaft KogWis01
Raum und Handlung: Bericht über ein Arbeitstreffen
Die menschliche Sprachfähigkeit - exaptiv und kognitiv opak
Bidirektionale Optimalitätstheorie
Mitteilungen der Gesellschaft für Kognitionswissenschaft e.V
Die Persistenz von Inferenzen in einem verstehensbasierten kognitiven Modell
Kooperatives Lernen mit Videokonferenzen: Gemeinsame Wissenskonstruktion und individueller Lernerfolg
Intentionale Steuerung kognitiver Prozesse
Spatial Mental Models in Counterfactual Thinking About What Might Have Been / Räumliche mentale Modelle beim kontrafaktischen Denken über das, was sein hätte können
Einleitung zum Themenheft "Ressourcenadaptive kognitive Prozesse"
editorial: Cognitive modeling in perspective
Leistungsbegrenzungen im verbalen Arbeitsgedächtnis: Argumente gegen energetische Ressourcenkonzepte / Limitations in Verbal Working Memory: Arguments Against Energetic Resource Concepts
Leitthema: Situierte Künstliche Kommunikatoren
Grammatik mit Widersprüchen
Bericht von der interdisziplinären Tagung Bild, Bildwahrnehmung, Bildverarbeitung in Magdeburg vom 5. bis 8. März 1997
Ressourcenadaptierende Objektlokalisation: Sprachliche Raumbeschreibung unter Zeitdruck
Modellierung von Fehlkonzepten in einer algebraischen Wissensstruktur
Kognitive und semiotische Ressourcen für die Wegfindung / Cognitive and semiotic resources of way-finding
Parsing mit inkonsistenten Grammatiken
Editorial - Leitthema Konfligierende Regeln: Wege zu formalen Modellen der Kognition
Qualitative Analyse von Gruppeninteraktionen in offenen verteilten Lernumgebungen
SARA - Ein kognitives Prozessmodell zur Erklaerung von Ankereffekt und Rueckschaufehler
Nichtmonotones Schließen: Wieviel Nichtmonotonie ist nötig?
Aligning Logical and Psychological Contributions to the Understanding of Human Reasoning
Kompositionsbildung bei Symbolfolgen und Bediensequenzen: Empirische Befunde und die Theorie des "Competitive Chunking" / Organizing Letter Series and Sequences of Operations by Chunks: Empirical Findings and the Theory of "Competitive Chunking"
Studien zur performanzorientierten Linguistik Aspekte der Relativsatzextraposition im Deutschen
Editorial - Was ist Kognitionswissenschaft?
Können Maschinen eine Sprache sprechen? Sind Computerprogramme syntaktisch oder semantisch?
Bayesian networks as models of human judgement under uncertainty: The role of causal assumptions in belief updating
Ein hybrides Bildanalyse-System für einen künstlichen Kommunikator
A simple cell model with dominating opponent inhibition for robust contrast detection
Spatial Descriptions as Navigational Aids: A Cognitive Analysis of Route Directions / Wegauskünfte als Navigationshilfen - eine kognitive Analyse
Kommunizierende Agenten: Gestische und natürlichsprachliche Interaktion
Referenzsemantik in der Partnermodellierung
Zur Repräsentation systematischer Ähnlichkeiten zwischen analogen Problemen nach zielgerichteten Elaborationen
Schatten über den Geist: Eine kritische Rezension der Bücher von Roger Penrose
Routen- und Überblickswissen - konzeptuelle Überlegungen / Route- and configurational knowledge - conceptual considerations
Dynamische Konzeptgenerierung in konnektionistischen Netzen: Begriffsklärung, Modellvorstellungen zur Szenenrekonstruktion und experimentelle Ergebnisse
Healthcare SaaS Based on a Data Model with Built-In Security and Privacy
Cost-Effective Spot Instances Provisioning Using Features of Cloud Markets
Optimal Resource Usage in Multi-Cloud Computing Environment