yusuke1997/dblp-id-title huggingface dataset:
Forecasting the cost of drought events in France by Super Learning from a short time series of many slightly dependent data
Combination of optimization-free kriging models for high-dimensional problems
Computing circadian rhythmic patterns and beyond: introduction to a new non-Fourier analysis
An extreme gradient boosted approach for predicting the number and size of auto insurance claims
Improved model-based clustering performance using Bayesian initialization averaging
Side sensitive group runs (X̅) chart with estimated process parameters
Wavelet-based Bayesian approximate kernel method for high-dimensional data analysis
Permutation tests for mixed paired and two-sample designs
Distributed identification of heterogeneous treatment effects
Methods for estimating the optimal number and location of cut points in multivariate survival analysis: a statistical solution to the controversial effect of BMI
Determining p -values for systems cointegration tests with a prior adjustment for deterministic terms
Forecasting of daily electricity prices with factor models: utilizing intra-day and inter-zone relationships
Statistics in the computer age: personal reflections
Investigating the competitive assumption of Multinomial Logit models of brand choice by nonparametric modeling
Context-specific independence in graphical log-linear models
HGLM modelling of dropout process using a frailty model
Posterior Analysis of Stochastic Frontier Models with Truncated Normal Errors
Sparse Bayesian variable selection in kernel probit model for analyzing high-dimensional data
A PC algorithm variation for ordinal variables
Extensions of Classical Multidimensional Scaling via Variable Reduction
Estimation of parameters of logistic regression for two-stage randomized response technique
Classification trees with soft splits optimized for ranking
A stochastic expectation-maximization algorithm for the analysis of system lifetime data with known signature
On progressively first failure censored Lindley distribution
Regression Models for Correlated Biliary Data with Random Effects Assuming a Mixture of Normal Distributions
Tuning selection for two-scale kernel density estimators
Clustering multivariate functional data in group-specific functional subspaces
An efficient parallel block coordinate descent algorithm for large-scale precision matrix estimation using graphics processing units
Bayesian regression models in gretl: the BayTool package
Computing the Standards Errors of Mixture Model Parameters with EM when Classes are Well Separated
PLS Path modelling: computation of latent variables with the estimation mode B
Copula selection for graphical models in continuous Estimation of Distribution Algorithms
Computing multiple-output regression quantile regions from projection quantiles
Constrained test in linear models with multivariate power exponential distribution
Extension of multivariate regression trees to interval data. Application to electricity load profiling
Order restricted inference for Chen life time populations under progressive type-II censoring scheme with partially observed competing risks
Multivariate mixed Poisson Generalized Inverse Gaussian INAR(1) regression
A robust mixed-effects quantile regression model using generalized Laplace mixtures to handle outliers and skewness
On the fast computation of the Dirichlet-multinomial log-likelihood function
Methods for checking the Markov condition in multi-state survival data
Modelling spatio-temporal variability of temperature
Quasi-likelihood inference for self-exciting threshold integer-valued autoregressive processes
High dimensional two-sample test based on the inter-point distance
Semiparametric estimation of mean and variance functions for non-Gaussian data
Variable selection for market basket analysis
Second-order least-squares estimation for regression models with autocorrelated errors
Simple approximations for option pricing under mean reversion and stochastic volatility
On robust cross-validation for nonparametric smoothing
Approximating income inequality dynamics given incomplete information: an upturned Markov chain model
Inference for vast dimensional elliptical distributions
Client/Server based Statistical Computing
Spatial correlation in weather forecast accuracy: a functional time series approach
Bayesian log-linear beta-negative binomial integer-valued Garch model
Bayesian variable selection for mixed effects model with shrinkage prior
Kernel-based mixture models for classification
An efficient ECM algorithm for maximum likelihood estimation in mixtures of t -factor analyzers
A time-varying coefficient rate model with intermittently observed covariates for recurrent event data
A robust test of specification based on order statistics
A novel finite mixture model based on the generalized scale mixtures of asymmetric generalized normal distributions: properties, estimation methodology and applications
Proceedings of Reisensburg 2010
Joint modelling of two count variables when one of them can be degenerate
Maximum likelihood estimation for a special exponential family under random double-truncation
Sparse principal components by semi-partition clustering
A process variability control chart
A Levene-type test of homogeneity of variances against ordered alternatives
Functional approach to the random mean of a compound Cox process
A tree-based varying coefficient model
Decomposition of the Gini index by income source for aggregated data and its applications
Revisiting fitting monotone polynomials to data
Skew exponential power stochastic volatility model for analysis of skewness, non-normal tails, quantiles and expectiles
Nonparametric estimation for competing risks survival data subject to left truncation and interval censoring
The exact bootstrap method shown on the example of the mean and variance estimation
Asymptotic properties of the Bayes modal estimators of item parameters in item response theory
Generalized Reduced K-Means
Weighted approximate Bayesian computation via Sanov's theorem
Robust weighted Gaussian processes
Pitman closeness of (k)-records from two sequences to progressive Type-II censored order statistics
Investigating GQL-based inferential approaches for non-stationary BINAR(1) model under different quantum of over-dispersion with application
Applications of resampling methods in multivariate Liu estimator
Discovering focal regions of slightly-aggregated sparse signals
Multiple partition Markov model for B.1.1.7, B.1.351, B.1.617.2, and P.1 variants of SARS-CoV 2 virus
Regularization in skewed binary classification
Parameter-expanded ECME algorithms for logistic and penalized logistic regression
A comparison of bootstrap and Monte-Carlo testing approaches to value-at-risk diagnosis
Hybrid bootstrap aided unit root testing
Predictors with measurement error in mixtures of polynomial regressions
Metadata usage in the statistical production process
Detecting the impact area of BP deepwater horizon oil discharge: an analysis by time varying coefficient logistic models and boosted trees
Statistical models for classification by handedness of Olympic Trap shooters in digital training services and remote coaching
Robust Bayesian structure learning for graphical models with T-distributions using G-Wishart prior
A generalized Newton algorithm for quantile regression models
A new double-regularized regression using Liu and lasso regularization
Reduced-bias estimation of spatial autoregressive models with incompletely geocoded data
Goodness-of-fit tests based on a robust measure of skewness
Structured dictionary learning of rating migration matrices for credit risk modeling
A genetic algorithm for designing microarray experiments
A multinomial tree model for pricing credit default swap options
A balanced statistical boosting approach for GAMLSS via new step lengths
A comparison of tests for the one-way ANOVA problem for functional data
Leveraging single-case results to Bayesian hierarchical modelling
A new resampling method for sampling designs without replacement: the doubled half bootstrap
Trend of high dimensional time series estimation using low-rank matrix factorization: heuristics and numerical experiments via the TrendTM package
Recent advances on metadata
Variational Bayes estimation of hierarchical Dirichlet-multinomial mixtures for text clustering
Using sliced mean variance-covariance inverse regression for classification and dimension reduction
Direct Minimization of Error Rates in Multivariate Classification
Simulation of Errors in Linear Regression: An Approach Based on Fixed Percentage Area
A heuristic, iterative algorithm for change-point detection in abrupt change models
The benefit of data-based model complexity selection via prediction error curves in time-to-event data
Boosting in Cox regression: a comparison between the likelihood-based and the model-based approaches with focus on the R-packages CoxBoost and mboost
Minimum (K φ )-divergence estimators for multinomial models and applications
Unsupervised learning on U.S. weather forecast performance
The truncated g-and-h distribution: estimation and application to loss modeling
Canonical correlation for principal components of time series
A survival regression with cure fraction applied to cervical cancer
Depth-based reconstruction method for incomplete functional data
Fast MMPTs: a fast approximate sampler toward a mixture of multivariate Polya trees
The dynamic random subgraph model for the clustering of evolving networks
Study of compound generalized Nakagami-generalized inverse Gaussian distribution and related densities: application to ultrasound imaging
Linear Regression Models with Incomplete Categorical Covariates
Estimating standard errors in regular vine copula models
Accelerated failure time models for recurrent event data analysis and joint modeling
Soul of the community: an attempt to assess attachment to a community
Kernel density estimation by stagewise algorithm with a simple dictionary
Bayesian selection of best subsets via hybrid search
Testing homogeneity of variances with unequal sample sizes
A nonlinear Gauss-Seidel algorithm for inference about GLMM
Nonparametric estimation of the bivariate survival function for one modified form of doubly censored data
Ranking handball teams from statistical strength estimation
Principal component analysis of interval data: a symbolic data analysis approach
An exploration of National Weather Service daily forecasts using R Shiny
Combining statistical and reinforcement learning in rule-based classification
Objective Bayesian testing on the common mean of several normal distributions under divergence-based priors
A support vector machine based semiparametric mixture cure model
Variational Bayesian analysis for two-part latent variable model
On the performance of estimation methods under ranked set sampling
Applications of conditional power function of two-sample permutation test
Multiple deletion diagnostics in beta regression models
A new quantile regression model for bounded responses with applications
Parallel computing in the statistical system Jasp
Estimation of spatial-functional based-line logit model for multivariate longitudinal data
Testing a parameter restriction on the boundary for the g-and-h distribution: a simulated approach
Sequential Monte Carlo for cut-Bayesian posterior computation
A distribution-free control chart for joint monitoring of location and scale in finite horizon productions
Smallest covering regions and highest density regions for discrete distributions
Approximate Bayesian computation for Lorenz curves from grouped data
Efficient iterative computation of mixture weights for pooled order statistics for meta-analysis of multiple type-II right censored data
Two tests for heteroscedasticity in nonparametric regression
A nonlinear PCA based on manifold approximation
Independence tests based on the shape of the Standard Young Tableau
Bayesian time series regression with nonparametric modeling of autocorrelation
Some hypothesis tests based on random projection
Non-parametric seasonal unit root tests under periodic non-stationary volatility
Weighted composite quantile regression for single index model with missing covariates at random
An algorithm for the computation of optimum designs under a given covariance structure
Variable selection for categorical response: a comparative study
Music and timbre segmentation by recursive constrained K -means clustering
Fast and consistent algorithm for the latent block model
An empirical study of PLAD regression using the bootstrap
Bivariate nonparametric estimation of the Pickands dependence function using Bernstein copula with kernel regression approach
Asymptotic properties of kernel density and hazard rate function estimators with censored widely orthant dependent data
Computing p -values in conditional independence models for a contingency table
Evaluation of confidence intervals for the kappa statistic when the assumption of marginal homogeneity is violated
Visualization of competitive market structure by means of choice data
Unveiling mortality dynamics: a novel mathematical framework across adulthood and aging
SamP2CeT: an interactive computer program for sample size and power calculation for two-level cost-effectiveness trials
An efficient GPU-parallel coordinate descent algorithm for sparse precision matrix estimation via scaled lasso
Topic based quality indexes assessment through sentiment
Comparison on five estimation approaches of intensity for a queueing system with short run
An exact approach to ridge regression for big data
Fixed-rank matrix factorizations and Riemannian low-rank optimization
Saddlepoint approximations to studentized bootstrap distributions based on M -estimates
Modelling catastrophe claims with left-truncated severity distributions
Time-dependent stress-strength reliability models based on phase type distribution
Mutable objects in R
On Bayesian estimation of a survival curve: comparative study and examples
Estimation and determinants of Chinese banks' total factor efficiency: a new vision based on unbalanced development of Chinese banks and their overall risk
Reduced k -means clustering with MCA in a low-dimensional space
Likelihood inference for the destructive exponentially weighted Poisson cure rate model with Weibull lifetime and an application to melanoma data
MCMC using Markov bases for computing p-values in decomposable log-linear models
On the impact of model selection on predictor identification and parameter inference
Adjusted R 2 Measures for the Inverse Gaussian Regression Model
Zig-zag exploratory factor analysis with more variables than observations
Binary segmentation procedures using the bivariate binomial distribution for detecting streakiness in sports data
Power, FDR and conservativeness of BB-SGoF method
Solving linear Bayesian inverse problems using a fractional total variation-Gaussian (FTG) prior and transport map
Regression and subgroup detection for heterogeneous samples
A bootstrap-based bandwidth selection rule for kernel quantile estimators
Bayesian robust estimation of partially functional linear regression models using heavy-tailed distributions
Ensemble Gaussian mixture models for probability density estimation
Improving accuracy of financial distress prediction by considering volatility: an interval-data-based discriminant model
A flexible two-piece normal dynamic linear model
Local non-stationarity test in mean for Markov switching GARCH models: an approximate Bayesian approach
Influence function analysis applied to partial least squares
The game beyond the field: on football players' performance through social media, sentiment and topic analysis
GSDAR: a fast Newton algorithm for ℓ 0 regularized generalized linear models with statistical guarantee
A simple portmanteau test with data-driven truncation point
Recursive estimation of multivariate hidden Markov model parameters
Model-based boosting in R: a hands-on tutorial using the R package mboost
Symbolic object description of strata by segmentation trees
Bayesian estimation of the expected time of first arrival past a truncated time T: the case of NHPP with power law intensity
Bayesian accelerated life testing under competing log-location-scale family of causes of failure
Labeled optimal partitioning
Holonomic gradient method for distribution function of a weighted sum of noncentral chi-square random variables
Computations and analysis in robust regression model selection using stochastic complexity
Improving the prediction performance of the LASSO by subtracting the additive structural noises
Book review: "Bayesian Data Analysis, " Second Edition by A. Gelman, J.B. Carlin, H.S. Stern, and D.B. Rubin Chapman & Hall/CRC, 2004
Jackknife empirical likelihood based diagnostic checking for Ar(p) models
Bayesian modeling and forecasting of seasonal autoregressive models with scale-mixtures of normal errors
The constrained Fisher scoring method for maximum likelihood computation of a nonparametric mixing distribution
Multivariate approaches to investigate the home and away behavior of football teams playing football matches
Some selection criteria for nested binary choice models: a comparative study
Prospects and challenges in R package development
Generalized linear model based on latent factors and supervised components
On maximization of the likelihood for the generalized gamma distribution
Density estimation and comparison with a penalized mixture approach
An automated stopping rule for MCMC convergence assessment
On the choice of a noninformative prior for Bayesian inference of discretized normal observations
Pitman closeness of predictors of future order statistics for two parameter exponential distribution
INet for network integration
Comparing k -independent and right censored samples based on the likelihood ratio
Nonparametric prediction intervals for progressive Type-II censored order statistics based on (k)-records
Linear models with time-varying parameters: a comparison of different approaches
smoothROCtime: an R package for time-dependent ROC curve estimation
Sequential linear regression for conditional mean imputation of longitudinal continuous outcomes under reference-based assumptions
Visualizing high density clusters in multidimensional data using optimized star coordinates
Optimization of Mixture Models: Comparison of Different Strategies
Exploring the latent segmentation space for the assessment of multiple change-point models
Levinson-Durbin algorithm as a Szegö polynomial recursion
Fuzzy clustering of time series based on weighted conditional higher moments
Shape constrained smoothing using smoothing splines
On the fusion of threshold classifiers for categorization and dimensionality reduction
Bayesian and non-bayesian analysis of gamma stochastic frontier models by Markov Chain Monte Carlo methods
Graphical tests of independence for general distributions
A two-stage Bridge estimator for regression models with endogeneity based on control function method
Correction to "On the linear combination of normal and Laplace random variables", by Nadarajah, S., Computational Statistics , 2006, 21, 63-71
Row mixture-based clustering with covariates for ordinal responses
Random variate generation and connected computational issues for the Poisson-Tweedie distribution
Contour estimation via two fidelity computer simulators under limited resources
The power of visualizing distributional differences: formal graphical n-sample tests
Two Newton methods on the manifold of fixed-rank matrices endowed with Riemannian quotient geometries
Naomi B. Robbins: Creating more effective graphs
Wavelet-based random densities
The 2018 data challenge expo of the American statistical association
What is an optimal value of k in k-fold cross-validation in discrete Bayesian network analysis?
Strong representations of the Kaplan-Meier estimator and hazard estimator with censored widely orthant dependent data
R Version 2.0.0
KyPlot - A User-oriented Tool for Statistical Data Analysis and Visualization
Parallel MARS Algorithm Based on B-splines
Unsupervised learning of pharmacokinetic responses
Transformation of variables and the condition number in ridge estimation
Target-aware Bayesian inference via generalized thermodynamic integration
Biomarker discovery: classification using pooled samples
Bayesian joint-quantile regression
Empirical Standard Errors for Longitudinal Data Mixed Linear Models
Identifying predictive hubs to condense the training set of (k)-nearest neighbour classifiers
Quantile regression for linear models with autoregressive errors using EM algorithm
Birnbaum-Saunders power-exponential kernel density estimation and Bayes local bandwidth selection for nonnegative heavy tailed data
Proceedings of Reisensburg 2011
Model selection using PRESS statistic
A primer on disease mapping and ecological regression using \({\texttt{INLA}}\)
Testing non-inferiority for three-arm trials under the PH model
Threshold effect in varying coefficient models with unknown heteroskedasticity
Application of the empirical characteristic function to compare and estimate densities by pooling information
Smoothing combined generalized estimating equations in quantile partially linear additive models with longitudinal data
Sensitivity analysis in functional principal component analysis
Fitting a Pareto-Normal-Pareto distribution to the residuals of financial data
A pivot-based simulated annealing algorithm to determine oblique splits for decision tree induction
Improved ridge regression estimators for the logistic regression model
Quantile regression with interval-censored data in questionnaire-based studies
The Monte Carlo EM method for estimating multinomial probit latent variable models
Uniform design with prior information of factors under weighted wrap-around L 2 -discrepancy
On the transition laws of p-tempered α-stable OU-processes
On the empirical estimator of the boundary in inverse first-exit problems
Exact and approximate computation of the scatter halfspace depth
Hierarchical correction of p-values via an ultrametric tree running Ornstein-Uhlenbeck process
Thresholds of moving average of stationary processes for given on target significant levels
Bayesian nonparametric hypothesis testing methods on multiple comparisons
A sliced inverse regression approach for data stream
Beran-based approach for single-index models under censoring
Response surface models for the Leybourne unit root tests and lag order dependence
Volatility forecasting using deep recurrent neural networks as GARCH models
Adding visualization functions of DAVIS to Jasp: Mixing two Java-based statistical systems
Dimension reduction in functional regression with categorical predictor
A general class of scale-shape mixtures of skew-normal distributions: properties and estimation
Stationarity preserving and efficiency increasing probability mass transfers made possible
Efficient construction of a smooth nonparametric family of empirical distributions and calculation of bootstrap likelihood
Double threshold receiver operating characteristic plot for three-modal continuous predictors
Testing for no effect via splines
Bayesian approach for mixture models with grouped data
A Bayesian approach to estimate parameters of ordinary differential equation
Functional estimation incorporating prior correlation information
Sample selection models for count data in R
Variable selection and structure identification for additive models with longitudinal data
Smoothing noisy data for irregular regions using penalized bivariate splines on triangulations
A functional analysis of NOx levels: location and scale estimation and outlier detection
Bootstrap and permutation tests in ANOVA for directional data
A new quantile regression model with application to human development index
Fully robust one-sided cross-validation for regression functions
Modelling rankings in R: the PlackettLuce package
Bootstrapping Error Component Models
Estimating summary functionals in multistate models with an application to hospital infection data
Efficient importance sampling in low dimensions using affine arithmetic
Constrained EM algorithm with projection method
Calculating quantiles of noisy distribution functions using local linear regressions
Estimating the Inverse Autocorrelation Function from Outlier Contaminated Data