yusuke1997/dblp-id-title huggingface dataset:
A neuro-computational intelligence analysis of the ecological footprint of nations
Projection quantile correlation and its use in high-dimensional grouped variable screening
A studentized range test for the equivalency of normal means under heteroscedasticity
Correlation for tree-shaped datasets and its Bayesian estimation
The MCMC and SML estimation of a self-selection model with two outcomes
Introduction to the special issue on statistical signal extraction and filtering
A new nested Cholesky decomposition and estimation for the covariance matrix of bivariate longitudinal data
Regression analysis of interval-censored failure time data with time-dependent covariates
Lasso, fractional norm and structured sparse estimation using a Hadamard product parametrization
Stochastic programming methods in the response surface methodology
Variable screening for varying coefficient models with ultrahigh-dimensional survival data
Exploring the state sequence space for hidden Markov and semi-Markov chains
Assessing influence in Gaussian long-memory models
Equivalence class selection of categorical graphical models
Erratum to "A method of simulating multivariate nonnormal distributions by the Pearson distribution system and estimation" [Comput. Statist. Data Analysis 47 (2004) 1-29]
Fuzzy clusterwise linear regression analysis with symmetrical fuzzy output variable
Regularization parameter estimation for large-scale Tikhonov regularization using a priori information
A stochastic block model approach for the analysis of multilevel networks: An application to the sociology of organizations
A β-expectation tolerance interval for general balanced mixed linear models
Performance of parametric survival models under non-random interval censoring: A simulation study
Tests of exponentiality based on Arnold-Villasenor characterization and their efficiencies
RelaxMCD: Smooth optimisation for the Minimum Covariance Determinant estimator
Estimation of empirical null using a mixture of normals and its use in local false discovery rate
Robust bandwidth selection in semiparametric partly linear regression models: Monte Carlo study and influential analysis
Bayesian D-optimal screening experiments with partial replication
Computing multiple-output regression quantile regions
A classification EM algorithm for binned data
Polarization of forecast densities: A new approach to time series classification
Special issue on fuzzy sets in statistics
A predictive deviance criterion for selecting a generative model in semi-supervised classification
Trend-resistant and cost-efficient cross-over designs for mixed models
Impact of non-normal random effects on inference by multiple imputation: A simulation assessment
Estimation of an oblique structure via penalized likelihood factor analysis
A parametric model to estimate the proportion from true null using a distribution for p-values
Approximate maximum likelihood estimation of the Bingham distribution
Pairwise share ratio interpretations of compositional regression models
Notes on estimation of proportion ratio under a non-compliance randomized trial with missing outcomes
Testing for jumps in conditionally Gaussian ARMA-GARCH models, a robust approach
Statistical inference and visualization in scale-space using local likelihood
Estimation of reliability with semi-parametric modeling of degradation
Additive dynamic models for correcting numerical model outputs
Sequential rank CUSUM charts for angular data
Drift mining in data: A framework for addressing drift in classification
On principal graphical models with application to gene network
Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN sampler
A Bayesian mixture of lasso regressions with t-errors
Self-controlled case series with multiple event types
Mixture models for mixed-type data through a composite likelihood approach
Bootstrapping estimation for estimating relative potency in combinations of bioassays
Parametric sensitivity: A case study comparison
A new algorithm to generate beta processes
Censored mean variance sure independence screening for ultrahigh dimensional survival data
Transformations, background estimation, and process effects in the statistical analysis of microarrays
Subsampling based variable selection for generalized linear models
It's easy to produce chartjunk using Microsoft ® Excel 2007 but hard to make good graphs
Multiple choice from competing regression models under multicollinearity based on standardized update
Regression analysis of asynchronous longitudinal data with informative observation processes
Strong consistency and rates of convergence for a random estimator of a fuzzy set
KrigInv: An efficient and user-friendly implementation of batch-sequential inversion strategies based on kriging
The Third Special Issue on Computational Econometrics
A robust testing procedure for the equality of covariance matrices
A new nonparametric screening method for ultrahigh-dimensional survival data
Multiple network embedding for anomaly detection in time series of graphs
The Annals of Computational and Financial Econometrics, first issue
Estimation of the additive hazards model with case K interval-censored failure time data in the presence of informative censoring
GACV for quantile smoothing splines
Bayesian smoothing spline analysis of variance
Regression models for grouped survival data: Estimation and sensitivity analysis
An approximate likelihood approach to nonlinear mixed effects models via spline approximation
Relative density of the random r
A penalized simulated maximum likelihood approach in parameter estimation for stochastic differential equations
Parametric and semi-parametric approaches in the analysis of short-term effects of air pollution on health
A goodness-of-fit test for parametric models based on dependently truncated data
Erratum to "Inverse boosting for monotone regression functions" [Computational Statistics and Data Analysis 49 (2005) 757-770]
Bayesian crossover designs for generalized linear models
A non-parametric test for comparing conditional ROC curves
Exact maximum likelihood estimation of structured or unit root multivariate time series models
Special issue on robust analysis of complex data
A fluctuation test for constant Spearman's rho with nuisance-free limit distribution
Repeated measures proportional odds logistic regression analysis of ordinal score data in the statistical software package R
Comparison between a measurement error model and a linear model without measurement error
Potts-Cox survival regression
Bayesian spatio-temporal models for stream networks
Penalized spline estimation for functional coefficient regression models
Optimising k
Independent component analysis based on symmetrised scatter matrices
Estimation of predictive performance in high-dimensional data settings using learning curves
Simultaneous confidence bands for all contrasts of three or more simple linear regression models over an interval
Dimensionality determination: A thresholding double ridge ratio approach
Estimating a smooth covariance for functional data
On a symmetrized simulation extrapolation estimator in linear errors-in-variables models
CFEnetwork: The annals of computational and financial econometrics, 3rd issue
Testing ratio of marginal probabilities in clustered matched-pair binary data
Causal mediation analysis for survival outcome with unobserved mediator-outcome confounders
Model robust designs for survival trials
Simulated annealing for higher dimensional projection depth
Vine copula based structural equation models
FFT-based fast bandwidth selector for multivariate kernel density estimation
Generalised indirect classifiers
Location and scale mixtures of Gaussians with flexible tail behaviour: Properties, inference and application to multivariate clustering
Loevinger's measures of rule quality for assessing cluster stability
On algorithms for restricted maximum likelihood estimation
3D space-varying coefficient models with application to diffusion tensor imaging
Estimation of risk measures in energy portfolios using modern copula techniques
A comparison between the Gröbner bases approach and hidden projection properties in factorial designs
Principal components adjusted variable screening
A data-based method for selecting tuning parameters in minimum distance estimators
Benchmarking historical corporate performance
Confidence interval estimation of a common correlation coefficient
Regression analysis of multivariate current status data with auxiliary covariates under the additive hazards model
Bayesian Cholesky factor models in random effects covariance matrix for generalized linear mixed models
Parametric estimation of conditional archimedean copula generators for censored data
Correspondence analysis and the Freeman-Tukey statistic: A study of archaeological data
High-dimensional causal mediation analysis based on partial linear structural equation models
The hierarchical-likelihood approach to autoregressive stochastic volatility models
Multidimensional data visualization in the statistical analysis of curricula
Fast calculation of p-values for one-sided Kolmogorov-Smirnov type statistics
Bayesian and profile likelihood change point methods for modeling cognitive function over time
Split variable selection for tree modeling on rank data
Continuum Isomap for manifold learnings
Locating multiple interacting quantitative trait loci using robust model selection
A unified consensus-based parallel algorithm for high-dimensional regression with combined regularizations
Wavelet-based bootstrapping of spatial patterns on a finite lattice
Linearly preconditioned nonlinear conjugate gradient acceleration of the PX-EM algorithm
Local logarithm partial likelihood estimation of panel count data model with an unknown link function
Optimizing parameters in clinical trials with a randomized start or withdrawal design
A method for increasing the robustness of multiple imputation
Classification of social media users with generalized functional data analysis
Reduced rank regression with possibly non-smooth criterion functions: An empirical likelihood approach
The liability threshold model for censored twin data
Bayesian causal effects in quantiles: Accounting for heteroscedasticity
Hidden Markov models with arbitrary state dwell-time distributions
Bayesian estimation of free-knot splines using reversible jumps
Composite quantile regression for correlated data
Partially linear structure identification in generalized additive models with NP-dimensionality
A smoothing principle for the Huber and other location M-estimators
Dynamic equicorrelation stochastic volatility
Sequential data assimilation for 1D self-exciting processes with application to urban crime data
Knot selection by boosting techniques
Estimation of the disease-specific diagnostic marker distribution under verification bias
A latent variable regression model for capture-recapture data
Extending finite mixtures of t linear mixed-effects models with concomitant covariates
Sharpening Wald-type inference in robust regression for small samples
Unsupervised mixture estimation via approximate maximum likelihood based on the Cramér - von Mises distance
Regression under Cox's model for recall-based time-to-event data in observational studies
Special issue on Time Series Econometrics
On biological validity indices for soft clustering algorithms for gene expression data
Type I multivariate zero-inflated Poisson distribution with applications
The dynamics of UK and US inflation expectations
Comparison of PQL and Laplace 6 estimates of hierarchical linear models when comparing groups of small incident rates in cluster randomised trials
A fast algorithm for computing distance correlation
Empirical Bayes Poisson matrix completion
Size and power properties of some tests in the Birnbaum-Saunders regression model
Outlier detection in the multiple cluster setting using the minimum covariance determinant estimator
A variable selection method in principal canonical correlation analysis
Bayesian nonparametric multiple testing
An experimental comparison of cross-validation techniques for estimating the area under the ROC curve
Alternative approaches to study lifetime data under different scenarios: from the PH to the modified semiparametric AFT model
An evaluation of the edge effects in disease map modelling
Assessing classifiers in terms of the partial area under the ROC curve
Sufficient dimension reduction using Hilbert-Schmidt independence criterion
An iterated parametric approach to nonstationary signal extraction
Densely connected sub-Gaussian linear structural equation model learning via ℓ 1 - and ℓ 2 -regularized regressions
Constrained monotone EM algorithms for finite mixture of multivariate Gaussians
Testing hypothesis for a simple ordering in incomplete contingency tables
Two new matrix-variate distributions with application in model-based clustering
A class of Birnbaum-Saunders type kernel density estimators for nonnegative data
Robust regression estimation and inference in the presence of cellwise and casewise contamination
Multivariate trees for mixed outcomes
Bayesian loss-based approach to change point analysis
A two-stage optimal subsampling estimation for missing data problems with large-scale data
Communication-efficient estimation of quantile matrix regression for massive datasets
Statistical inference for doubly stochastic multichannel Poisson processes: A PCA approach
E.J. Kontoghiorghes, Editor, Handbook of Parallel Computing and Statistics, Chapman & Hall/CRC, Boca Raton (2006)
When long memory meets the Kalman filter: A comparative study
A class of transformed hazards models for recurrent gap times
Generalized likelihood ratio test for varying-coefficient models with different smoothing variables
Completely monotone distributions: Mixing, approximation and estimation of number of species
A local boosting algorithm for solving classification problems
GMM estimation and variable selection of semiparametric model with increasing dimension and high-order spatial dependence
Notes on testing equality in binary data under a three period crossover design
Extended stochastic volatility models incorporating realised measures
Should we impute or should we weight? Examining the performance of two CART-based techniques for addressing missing data in small sample research with nonnormal variables
Locally sparse quantile estimation for a partially functional interaction model
Three-step estimation of latent Markov models with covariates
An EWMA chart for monitoring the process standard deviation when parameters are estimated
On the measure and the estimation of evenness and diversity
Online EM for functional data
Likelihood approach for count data in longitudinal experiments
Constrained linear regression models for symbolic interval-valued variables
Multiple factor analysis and clustering of a mixture of quantitative, categorical and frequency data
Multivariate regression shrinkage and selection by canonical correlation analysis
Statistical analysis of financial networks
Obtaining more information from conjoint experiments by best-worst choices
Clustering, multicollinearity, and singular vectors
Power and sample size calculations for Poisson and zero-inflated Poisson regression models
Mean estimation with calibration techniques in presence of missing data
A structural mixed model to shrink covariance matrices for time-course differential gene expression studies
A Bayesian analysis of zero-inflated generalized Poisson model
An adaptive test for the mean vector in large-p-small-n problems
Mining the customer credit using classification and regression tree and multivariate adaptive regression splines
Bayesian R-estimates in two-sample location models
Bayesian nearest-neighbor analysis via record value statistics and nonhomogeneous spatial Poisson processes
Estimation of projection pursuit regression via alternating linearization
Asymmetry in tail dependence in equity portfolios
Addressing overfitting and underfitting in Gaussian model-based clustering
Functional PLS logit regression model
Two-level experiments for binary response data
Data-driven stabilizations of goodness-of-fit tests
Counterfactual distributions of wages via quantile regression with endogeneity
CR-Lasso: Robust cellwise regularized sparse regression
Pooled ANOVA
Pure interaction effects unseen by Random Forests
Estimation of sample selection models with two selection mechanisms
Covariate-modulated large-scale multiple testing under dependence
Extending the Fellegi-Sunter record linkage model for mixed-type data with application to the French national health data system
Markov transition model to dementia with death as a competing event
Analysis of generalized semiparametric regression models for cumulative incidence functions with missing covariates
Weighted least squares model averaging for accelerated failure time models
2nd Special Issue on Applications of Optimization Heuristics to Estimation and Modelling Problems
Semiparametric regression analysis of clustered survival data with semi-competing risks
The cost of using decomposable Gaussian graphical models for computational convenience
Adaptive population-based search: Application to estimation of nonlinear regression parameters
A quantitative comparison of stochastic mortality models on Italian population data
Robust generalized canonical correlation analysis based on scatter matrices
Bayesian nonparametric forecasting for INAR models
Performing hypothesis tests on the shape of functional data
Statistical analysis of discrete-valued time series using categorical ARMA models
Robustness of the linear mixed model to misspecified error distribution
An extension of likelihood-ratio-test for testing linear hypotheses in the baseline-category logit model
Locally optimal tests for exponential distributions with type-I censoring
Algorithms and applications for approximate nonnegative matrix factorization
Conjugate and conditional conjugate Bayesian analysis of discrete graphical models of marginal independence
A phylogenetic Gaussian process model for the evolution of curves embedded in d-dimensions
Robust estimation under progressive censoring
Fast and compact smoothing on large multidimensional grids
Optimized U-type designs on flexible regions
Modeling rating data with Nonlinear CUB models
Fitting marginal accelerated failure time models to clustered survival data with potentially informative cluster size
A new approach for selecting the number of factors
Constrained center and range joint model for interval-valued symbolic data regression
Default priors for the intercept parameter in logistic regressions
How many principal components? stopping rules for determining the number of non-trivial axes revisited
Bootstrap tests for independence in two-way ordinal contingency tables
Generalized additive partial linear models for analyzing correlated data
Optimal dose de-escalation trial designs for novel contraceptives in women
Multivariate reduced rank regression in non-Gaussian contexts, using copulas
On the Use of the Terms Repeatability and Reproducibility Regarding "Reproducibility of genotypes as measured by the Affymetrix GeneChip(R) 100 K Human Mapping Array Set" by Fridley and colleagues (2008) Comput. Stat. Data Anal. 52: 5367-5374
Modified information criteria and selection of long memory time series models
Domain selection for the varying coefficient model via local polynomial regression
A new partially reduced-bias mean-of-order p class of extreme value index estimators
Logistic regression with missing covariates - Parameter estimation, model selection and prediction within a joint-modeling framework
Multivariate modelling of long memory processes with common components
Regression models using shapes of functions as predictors
Comparison of quantiles for several normal populations
A simultaneous confidence-bounded true discovery proportion perspective on localizing differences in smooth terms in regression models
Comparison of symmetry tests against some skew-symmetric alternatives in i.i.d. and non-i.i.d. setting
Simultaneous selection of variables and smoothing parameters in structured additive regression models
Experiments with, and on, algorithms for maximum likelihood clustering
A streaming algorithm for bivariate empirical copulas
Power calculations for global and local Moran's I
Period analysis of variable stars: Temporal dependence and local optima
A propensity score adjustment method for regression models with nonignorable missing covariates
Robust functional linear regression based on splines
Testing conditional mean through regression model sequence using Yanai's generalized coefficient of determination
Mixture models with decreasing weights
2nd Special Issue on Statistical Signal Extraction and Filtering
Multiple comparison procedures for detecting differences in simply ordered means
On the performance of nonparametric specification tests in regression models
Estimating residual variance in random forest regression
Robust test for dispersion parameter change in discretely observed diffusion processes
Change-point testing for parallel data sets with FDR control
A comparison of simulated annealing algorithms for variable selection in principal component analysis and discriminant analysis
Uncertainty analysis for statistical matching of ordered categorical variables
Tobit model with covariate dependent thresholds
Bootstrap estimated true and false positive rates and ROC curve
Multi-scale shotgun stochastic search for large spatial datasets
Graph-theoretic multisample tests of equality in distribution for high dimensional data
GRAFT, a complete system for data fusion
Bayesian analysis of finite mixtures of multinomial and negative-multinomial distributions
A transdimensional approximate Bayesian computation using the pseudo-marginal approach for model choice
Prediction of sea surface temperature in the tropical Atlantic by support vector machines
Covariance miss-specification and the local influence approach in sensitivity analyses of longitudinal data with drop-outs
A goodness-of-fit test for zero-inflated Poisson mixed effects models in tree abundance studies
Nonparametric conditional hazard rate estimation: A local linear approach
Model-based cluster and discriminant analysis with the MIXMOD software
Locally adaptive Bayesian P-splines with a Normal-Exponential-Gamma prior
Learning and approximate inference in dynamic hierarchical models
Sparse principal component regression for generalized linear models
HHCART: An oblique decision tree
Partially linear single index Cox regression model in nested case-control studies
Increasing the power: A practical approach to goodness-of-fit test for logistic regression models with continuous predictors
Adaptive EWMA procedures for monitoring processes subject to linear drifts
Fast robust regression algorithms for problems with Toeplitz structure
A new class of semiparametric semivariogram and nugget estimators
Objective parametric model selection procedures from a Bayesian nonparametric perspective
Empirical likelihood based Bayesian variable selection
Robustness of classification rules that incorporate additional information
The 3rd Special Issue on Optimization Heuristics in Estimation and Modelling Problems
Markov-switching state-space models with applications to neuroimaging
A smooth nonparametric approach to determining cut-points of a continuous scale
Bayesian optimum designs for discriminating between models with any distribution
Simple and effective boundary correction for kernel densities and regression with an application to the world income and Engel curve estimation
Local linear estimation of residual entropy function of conditional distributions
Population pharmacokinetic/pharmacodynamic mixture models via maximum a posteriori estimation
Kernel continuum regression
An adaptive minimum spanning tree test for detecting irregularly-shaped spatial clusters
Monotone composite quantile regression neural network for censored data with a cure fraction
A log-linear regression model for the β-Birnbaum-Saunders distribution with censored data
A general procedure to combine estimators
The distribution of sums, products and ratios for Lawrance and Lewis's bivariate exponential random variables
RLadyBug - An R package for stochastic epidemic models