yusuke1997/dblp-id-title huggingface dataset:
Estimating reducible stochastic differential equations by conversion to a least-squares problem
A class of transformed joint quantile time series models with applications to health studies
Posterior inference in the random intercept model based on samples obtained with Markov chain Monte Carlo methods
Finite approximations to linear filters and the monitoring of revisions
Sparse kernel deep stacking networks
A new Bayesian procedure for testing point null hypotheses
Covariance matrix testing in high dimension using random projections
Interview with Genshiro Kitagawa
Requirements for interactive graphics software for exploratory data analysis
Some properties of double truncated distributions and their application in view of income inequality
A locally sequentially reweighted gradient descent estimator to enhance statistical efficiency for decentralized federated learning
Bootstrap prediction intervals in beta regressions
Estimating effort function with semiparametric model
Consistent second-order discrete kernel smoothing using dispersed Conway-Maxwell-Poisson kernels
On the favorable estimation for fitting heavy tailed data
An accept-reject algorithm for the positive multivariate normal distribution
Objective bayesian analysis of the Yule-Simon distribution with applications
Two sample tests for Semi-Markov processes with parametric sojourn time distributions: an application in sensory analysis
COBS: qualitatively constrained smoothing via linear programming
Bayesian analysis of restricted penalized empirical likelihood
Modelling dependency effect to extreme value distributions with application to extreme wind speed at Port Elizabeth, South Africa: a frequentist and Bayesian approaches
R package for statistical inference in dynamical systems using kernel based gradient matching: KGode
Spectral Factorization of the Autocorrelation Sequence of an IIR Filter Using Patterns of Three Functions
A note on P -spline additive models with correlated errors
Case influence diagnostics in the Kaplan-Meier estimator and the log-rank test
Optimal imputation of the missing data using multi auxiliary information
A self-organizing state space model and simplex initial distribution search
Interpolation of daily rainfall data using censored Bayesian spatially varying model
Analysis of type I and II error rates of Bayesian and frequentist parametric and nonparametric two-sample hypothesis tests under preliminary assessment of normality
Adaptive spline fitting with particle swarm optimization
Estimating the system order by subspace methods
Ordered spatial sampling by means of the traveling salesman problem
sppmix: Poisson point process modeling using normal mixture models
The fuzzy cluster analysis for interval value using genetic algorithm and its application in image recognition
Testing heterogeneity in quantile regression: a multigroup approach
A weighted strategy to handle likelihood uncertainty in Bayesian inference
Proceedings of Reisensburg 2016-2017
Statistical Analysis of Extreme Values - from Insurance, Finance, Hydrology and Other Fields
Visual Comparison of Association Rules
Density Estimation from Aggregate Data
Efficient computation of the Bergsma-Dassios sign covariance
A study of sensitivity analysis on the method of Principal Hessian Directions
Search heuristics and the influence of non-perfect randomness: examining Genetic Algorithms and Simulated Annealing
A cluster-based taxonomy of bus crashes in the United States
Normal correlation coefficient of non-normal variables using piece-wise linear approximation
Detecting periods in which a time series model fails to predict the observed volatility
Using tours to visually investigate properties of new projection pursuit indexes with application to problems in physics
Comparison among simultaneous confidence regions for nonlinear diffusion models
The forward search and data visualisation
Analysis of progressive type-II censored gamma distribution
A robust threshold t linear mixed model for subgroup identification using multivariate T distributions
An algorithm for finding efficient test-control block designs with correlated observations
On computational aspects of Bayesian spatial models: influence of the neighboring structure in the efficiency of MCMC algorithms
Variational Markov chain Monte Carlo for Bayesian smoothing of non-linear diffusions
Reliability inference for multicomponent stress-strength model from Kumaraswamy-G family of distributions based on progressively first failure censored samples
The behaviour of the modified Levene's test when data are not normally distributed
Visions: New techniques and technologies in statistics
Goodness-of-fit tests for the Cauchy distribution
Modified profile likelihood approach for certain intraclass correlation coefficients
A hybrid deterministic-deterministic approach for high-dimensional Bayesian variable selection with a default prior
Kendall correlations and radar charts to include goals for and goals against in soccer rankings
An efficient sampling scheme for dynamic generalized models
Nonparametric estimation with doubly censored and truncated data
Noninformative priors for the ratio of the shape parameters of two Weibull distributions
Meta-analysis of individual patient data with semi-competing risks under the Weibull joint frailty-copula model
Inference and optimal censoring scheme for progressively Type-II censored competing risks model for generalized Rayleigh distribution
Determining the uncertain boundaries of the diagnostics tests by using information criteria
Sparse online principal component analysis for parameter estimation in factor model
Periodic autoregressive models with closed skew-normal innovations
On the influence of the prior distribution in image reconstruction
The accurary of Mathematica 4 as a statistical package
A numerical comparison of the normal and some saddlepoint approximations to a distribution-free test for stochastic ordering in the competing risks model
A new algorithm for fitting semi-parametric variance regression models
A novel nonconvex, smooth-at-origin penalty for statistical learning
Estimation of a zero-inflated Poisson regression model with missing covariates via nonparametric multiple imputation methods
A new class of information criteria for improved prediction in the presence of training/validation data heterogeneity
Recursive non-parametric kernel classification rule estimation for independent functional data
Benefits of functional PCA in the analysis of single-trial auditory evoked potentials
Notes on kernel density based mode estimation using more efficient sampling designs
Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures
Sparse Bayesian learning with automatic-weighting Laplace priors for sparse signal recovery
A note on the area under the likelihood and the fake evidence for model selection
A comperative study of two convolution-type estimators of the marginal density of moving average processes
Computation of the expected value of a function of a chi-distributed random variable
Extending AIC to best subset regression
Asymptotic cumulants of the parameter estimators in item response theory
Using wiki to build an e-learning system in statistics in the Arabic language
Simultaneous selection of knots and variables in additive models
Fast implementation of the Tukey depth
Composite support vector quantile regression estimation
The home advantage and COVID-19: the crowd support effect on the english football premier league and the championship
A tale of four cities: exploring the soul of State College, Detroit, Milledgeville and Biloxi
Estimation of realized stochastic volatility models using Hamiltonian Monte Carlo-Based methods
Kernel regression for cause-specific hazard models with time-dependent coefficients
Effect of Oil Spill on Birds: A Graphical Assay of the Deepwater Horizon Oil Spill's Impact on Birds
Mixture models for simultaneous classification and reduction of three-way data
Testing procedures based on maximum likelihood estimation for marked Hawkes processes
Finite mixtures of unimodal beta and gamma densities and the k-bumps algorithm
Robust singular spectrum analysis: comparison between classical and robust approaches for model fit and forecasting
Computational econometrics with gretl
Bayesian estimation of bandwidth in semiparametric kernel estimation of unknown probability mass and regression functions of count data
A first-order approximated jackknifed ridge estimator in binary logistic regression
Bayesian inference for fractional Oscillating Brownian motion
Success in the MLS SuperDraft: evaluating player characteristics and performance using mixed effects models
Shapiro-Wilk test for multivariate skew-normality
Spatio-temporal clustering analysis using generalized lasso with an application to reveal the spread of Covid-19 cases in Japan
A note on the prior parameter choice in finite mixture models of distributions from exponential families
Interactive data analysis in a manufacturing setting - A case study
Efficient and doubly-robust methods for variable selection and parameter estimation in longitudinal data analysis
COMPSTAT 1998 - Proceedings in Computational Statistics
Detecting and modeling nonlinearity in the gas furnace data
Second-order generalized estimating equations for correlated count data
Power Burr X-T family of distributions: properties, estimation methods and real-life applications
Predicting measurements at unobserved locations in an electrical transmission system
On weighted and locally polynomial directional quantile regression
A graphical method for assessing multivariate normality
Bayesian variable selection and estimation in quantile regression using a quantile-specific prior
Evolutionary computation of a deterministic switching regressions estimator
Bayesian lasso binary quantile regression
maxLik: A package for maximum likelihood estimation in R
The computing of the Poisson multinomial distribution and applications in ecological inference and machine learning
Fitting a Mixture Distribution to a Variable Subject to Heteroscedastie Measurement Errors
Pseudo-document simulation for comparing LDA, GSDMM and GPM topic models on short and sparse text using Twitter data
Synthetic data generation method providing enhanced covariance matrix estimation
Bayesian ridge estimators based on copula-based joint prior distributions for regression coefficients
Comments on: Hierarchical inference for genome-wide association studies by Jelle J. Goeman and Stefan Böhringer
On the implementation of LIR: the case of simple linear regression with interval data
An iterative approach to minimize the mean squared error in ridge regression
Linear latent variable models: the lava-package
An efficient algorithm for structured sparse quantile regression
Maximum likelihood method for bandwidth selection in kernel conditional density estimate
Dynamic clustering for interval data based on L 2 distance
Nonparametric estimation of a distribution function from doubly truncated data under dependence
"Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations" by Adrian W. Bowman and Adelchi Azzalini
Bayesian joint inference for multivariate quantile regression model with L 1/2 penalty
Extending the GGobi pipeline from R
A simple approximation to the percentiles of the t distribution
A subspace aggregating algorithm for accurate classification
A novel method and comparison of methods for constructing Markov bridges
Misspecification-robust likelihood-free inference in high dimensions
Structure learning of sparse directed acyclic graphs incorporating the scale-free property
Keeping Statistics Alive in Documents
A robust joint modeling approach for longitudinal data with informative dropouts
Polynomial spline estimation for partial functional linear regression models
Diagnosis and quantification of the non-essential collinearity
Using reference models in variable selection
On simulating truncated stable random variables
Estimation and testing of kink regression model with endogenous regressors
Generalized ridge shrinkage estimation in restricted linear model
Spurious regression due to neglected of non-stationary volatility
Reusable components in decision tree induction algorithms
Asymptotic expansions for the ability estimator in item response theory
Finite mixture of regression models for censored data based on the skew-t distribution
Influence diagnostics in the varying coefficient model with longitudinal data
Variational Bayesian Lasso for spline regression
From simple structure to sparse components: a review
Stability and scalability in decision trees
Results and student perspectives on a web-scraping assignment from Utah State University's data technologies course to evaluate the African activity in the statistical computing community
Generalized good lattice point sets
Modeling the coverage probability of a confidence interval on the among-group variance component in the unbalanced random one-way model
Copula hidden Markov model with unknown number of states
A note on estimating the bent line quantile regression model
Comparison of the EM, CEM and SEM algorithms in the estimation of finite mixtures of linear mixed models: a simulation study
Convergence of the CUSUM estimation for a mean shift in linear processes with random coefficients
A community detection algorithm based on spectral co-clustering and weight self-adjustment in attributed stochastic co-block models
Rayleigh projection depth
Rank-based Liu regression
Modified beta modified-Weibull distribution
A simulation model to analyze the behavior of a faculty retirement plan: a case study in Mexico
Censored broken adaptive ridge regression in high-dimension
Studying the bandwidth in (k)-sample smooth tests
Transformation mixture modeling for skewed data groups with heavy tails and scatter
Partial possibilistic regression path modeling: handling uncertainty in path modeling
On the examination of the reliability of statistical software for estimating regression models with discrete dependent variables
A sensibility study of the autobinomial model estimation methods based on a feature similarity index
Distributed quantile regression for longitudinal big data
Measuring and visualizing the stability of biomarker selection techniques
Invariance of the first difference in ARFIMA models
A framework for statistical software development, maintenance, and publishing within an open-access business model
Correction to: Estimation of component reliability from superposed renewal processes by means of latent variables
Automatic piecewise linear regression
Generalized canonical correlation analysis with missing values
Regression analysis of interval censored and doubly truncated data with linear transformation models
Computing the noncentral gamma distribution, its inverse and the noncentrality parameter
Multiway clustering with time-varying parameters
Estimation in partially linear varying-coefficient errors-in-variables models with missing response variables
Statistical analysis of autoregressive fractionally integrated moving average models in R
Clustering method for censored and collinear survival data
A heuristic approach for the generation of multivariate random samples with specified marginal distributions and correlation matrix
Computing electricity spot price prediction intervals using quantile regression and forecast averaging
A new approach to nonparametric estimation of multivariate spectral density function using basis expansion
Comparing several population means: a parametric bootstrap method, and its comparison with usual ANOVA F test as well as ANOM
Local linear kernel estimation of the discontinuous regression function
Sparse matrices in data analysis
Analyzing XploRe Download Profiles with Intelligent Miner
Efficient identification of independence networks using mutual information
A rank test based on the moments of order statistics of the modified Makeham distribution
On the accuracy of statistical procedures in Microsoft Excel 2010
Percentile estimation based on the power-normal distribution
Correction to: Bayesian estimation of the number of species from Poisson-Lindley stochastic abundance model using non-informative priors
Lasso multinomial performance indicators for in-play basketball data
On the time of corner kicks in soccer: an analysis of event history data
Estimation and diagnostic for partially linear models with first-order autoregressive skew-normal errors
Two-stage unrelated randomized response model to estimate the prevalence of a sensitive attribute
Constraint-based inference algorithms for structural models with latent confounders - empirical application and simulations
Multiple combined gamma kernel estimations for nonnegative data with Bayesian adaptive bandwidths
Measuring and testing interdependence among random vectors based on Spearman's ρ and Kendall's τ
Fuzzy Bayesian estimation on lifetime data
No effect tests in regression on functional variable and some applications to spectrometric studies
Scale space multiresolution correlation analysis for time series data
Extending lattice: using generics and methods to implement new visualization methods within the Trellis framework
Convexity of Gaussian chance constraints and of related probability maximization problems
Selecting hidden Markov model state number with cross-validated likelihood
Empirical model selection in generalized linear mixed effects models
Sparse functional data classification via Bayesian aggregation
Efficient inference in state-space models through adaptive learning in online Monte Carlo expectation maximization
Interview with Antony Unwin
Efficient recursive computational algorithms for multivariate t and multivariate unified skew-t distributions with applications to inference
Influence measure based on probabilistic behavior of regression estimators
A software reliability model incorporating fault removal efficiency and it's release policy
SETAR model selection-A bootstrap approach
The evaluation of variance component estimation software: generating benchmark problems by exact and approximate methods
Hybrid MLP-IDW approach based on nearest neighbor for spatial prediction
Post-processing of Markov chain Monte Carlo output in Bayesian latent variable models with application to multidimensional scaling
J. E. Gentle, W. Härdle, and Y. Mori (eds): Handbook of computational statistics: concepts and methods
A data warehouse for designed experiments
An improved preconditioned unsupervised K-means clustering algorithm
Two noniterative algorithms for computing posteriors
Efficient simulation from a gamma distribution with small shape parameter
Partitioning Algorithms and Combined Model Integration for Data Mining
On extracting information implied in options
hermiter: R package for sequential nonparametric estimation
Estimating value at risk with semiparametric support vector quantile regression
Predicting missing values: a comparative study on non-parametric approaches for imputation
A new metric for pitch control based on an intuitive motion model
Simultaneous Gaussian model-based clustering for samples of multiple origins
Computational testing algorithmic procedure of assessment for lifetime performance index of Pareto products under progressive type I interval censoring
The Many Faces of Degeneracy in Conic Optimization
Dynamic Network Energy Management via Proximal Message Passing
Gradient-Based Algorithms for Zeroth-Order Optimization
Optimization Methods for Financial Index Tracking: From Theory to Practice
Multi-Period Trading via Convex Optimization
Performance Bounds and Suboptimal Policies for Multi-Period Investment
Riemannian Online Learning
Algorithms for Verifying Deep Neural Networks
Atomic Decomposition via Polar Alignment: The Geometry of Structured Optimization
Information Relaxations and Duality in Stochastic Dynamic Programs: A Review and Tutorial
Numerical Methods for Convex Multistage Stochastic Optimization
Integer Programming Games
Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms
An Invitation to Deep Reinforcement Learning
Proximal Algorithms
Causal Machine Learning: A Survey and Open Problems
AltGDmin: Alternating GD and Minimization for Partly-decoupled (Federated) Optimization
A Tutorial on Hadamard Semidifferentials
Stochastic Optimization Methods for Policy Evaluation in Reinforcement Learning
Acceleration Methods
Low-Rank Semidefinite Programming: Theory and Applications
Chordal Graphs and Semidefinite Optimization
Distributionally Robust Learning
Massively Parallel Computation: Algorithms and Applications
Introduction to Online Convex Optimization
Multi-agent Online Optimization
Hierarchizing graph-based image segmentation algorithms relying on region dissimilarity
Generalized Morphology using Sponges
Effcient and Effective Automated Digital Hair Removal from Dermoscopy Images
Flat morphological operators from non-increasing set operators, I: general theory
Automated segmentation of thick confocal microscopy 3D images for the measurement of white matter volumes in zebrafish brains
Photometric Intensity Profiles Analysis for Thick Segment Recognition and Geometric Measures
Mathematical morphology based on stochastic permutation orderings
Correspondence between Topological and Discrete Connectivities in Hausdorff Discretization
Prior-based Hierarchical Segmentation Highlighting Structures of Interest
Adaptive Mathematical Morphology on Irregularly Sampled Signals in Two Dimensions
On properties of analytical approximation for discretizing 2D curves and 3D surfaces
Mathematical Morphology on Irregularly Sampled Data in One Dimension
Efficient Computation of Greyscale Path Openings
Digital Objects in Rhombic Dodecahedron Grid
Robust Object Detection in Colour Images Using a Multivariate Percentage Occupancy Hit-or-Miss Transform
Tracking sub-atomic particles through the Attribute Space
Image Restoration by Learning Morphological Opening-Closing Network
Boundary Morphology for Hierarchical Simplification of Archaeological Fragments
Statistical attribute filtering to detect faint extended astronomical sources
Fast marching based superpixels
Median-Tree: An Efficient Counterpart of Tree-of-Shapes
Approximating morphological operators with part-based representations learned by asymmetric auto-encoders
Efficient Hierarchical Multi-Object Segmentation in Layered Graphs
Modeling Imprecise and Bipolar Algebraic and Topological Relations using Morphological Dilations
Defining and computing Hausdorff distances between distributions on the real line and on the circle: link between optimal transport and morphological dilations
Editorial - Special Issue: ISMM 2019
Quantile Filtering of Colour Images via Symmetric Matrices
Improved Part-Based Segmentation of Voxel Shapes by Skeleton Cut Spaces
Erratum to "Hierarchizing graph-based image segmentation algorithms relying on region dissimilarity: the case of the Felzenszwalb-Huttenlocher method"
Hyperspectral Image Classification Based on Mathematical Morphology and Tensor Decomposition
Morphological probabilistic hierarchies for texture segmentation
Activity-Based Management for Electronic Commerce: A Structured Implementation Procedure
New Ways of Working through Emerging Technologies: A Meta-Synthesis of the Adoption of Blockchain in the Accountancy Domain
The Impact of Radio Frequency Identification (RFID) Investment Announcements on the Market Value of the Firm
A Literature Review of Taxes in Cross-Border Supply Chain Modeling: Themes, Tax Types and New Trade-Offs
Editorial: Editorial Board Communication System
Global Market Perceptions of Cryptocurrency and the Use of Cryptocurrency by Consumers: A Pilot Study
Uncovering How Information Quality Shapes Diverse User Engagement on Content Community Platforms: Harnessing Deep Learning for Feature Extraction
Digital Platforms as Sources for Organizational and Strategic Transformation: A Case Study of the Midblue Project
Impact Mechanisms of Consumer Impulse Buying in Accumulative Social Live Shopping: Considering Para-Social Relationship Moderating Role
Understanding the Dynamics of Telework: A Job Demands-Resources Model-Based Qualitative Analysis of Employee and Managerial Experiences in Romania