All Stories

  1. Distributed online expectation-maximization algorithm for Poisson mixture model
  2. Generating Dynamic Kernels via Transformers for Lane Detection
  3. Modelling High-Dimensional Time Series with Nonlinear and Nonstationary Phenomena for Landslide Early Warning and Forecasting
  4. Statistical Haplotypes Based on Functional Sequence Data Analysis for Genome-Wide Association Studies
  5. Online Hybrid Neural Network for Stock Price Prediction: A Case Study of High-Frequency Stock Trading in the Chinese Market
  6. Online Hybrid Neural Network for Stock Prices Prediction: A Case Study of High-frequency Stock Trading in China Market
  7. Analyzing Error Bounds for Seasonal-Trend Decomposition of Antarctica Temperature Time Series Involving Missing Data
  8. Stock Price Prediction Using a Frequency Decomposition Based GRU Transformer Neural Network
  9. Improving Methodology for Tropical Cyclone Seasonal Forecasting in the Australian and the South Pacific Ocean Regions by Selecting and Averaging Models via Metropolis–Gibbs Sampling
  10. Sparse online principal component analysis for parameter estimation in factor model
  11. LIC criterion for optimal subset selection in distributed interval estimation
  12. Landslide Forecast by Time Series Modeling and Analysis of High-Dimensional and Non-Stationary Ground Motion Data
  13. The Prediction for the Outbreak of COVID-19 in European Countries by Using Turning Phase Concepts as of April 9, 2020
  14. The Prediction for the Outbreak of COVID-19 for 15 States in USA by Using Turning Phase Concepts As of April 10, 2020
  15. The Framework for the Prediction of the Critical Turning Period for Outbreak of COVID-19 Spread in China based on the iSEIR Model
  16. Luminous flux modeling for high power LED automotive headlamp module
  17. Variable Selection for Tropical Cyclogenesis Predictive Modeling
  18. Spline-based modelling of near-surface wind speeds in tropical cyclones
  19. Boosting association rule mining in large datasets via Gibbs sampling
  20. Covariance matrix and transfer function of dynamic generalized linear models
  21. Parallel maximum likelihood estimator for multiple linear regression models
  22. A Statistical Test of Change-Point in Mean that Almost Surely Has Zero Error Probabilities
  23. Supercomputing enabling exhaustive statistical analysis of genome wide association study data: Preliminary results
  24. Using capture-recapture data and hybrid Monte Carlo sampling to estimate an animal population affected by an environmental catastrophe
  25. Setwise and filtered gibbs samplers for teletraffic analysis
  26. A Procedure for Estimating the Number of Clusters in Logistic Regression Clustering
  27. Monte Carlo EM algorithm in logistic linear models involving non-ignorable missing data
  28. Estimating the Number of Clusters in Logistic Regression Clustering by an Information Theoretic Criterion
  29. Selection of Working Correlation Structure and Best Model in GEE Analyses of Longitudinal Data
  30. On time series model selection involving many candidate ARMA models
  31. A latent variable model for estimating disease transmission rate from data on household outbreaks
  32. Hierarchical Bayes model for random haplotype and family effects in the transmission of fragile-X
  33. A random effects model for diseases with heterogeneous rates of infection
  34. Analysis of Between–Household Heterogeneity in Disease Transmission from Data on Outbreak Sizes
  35. Law of iterated logarithm and consistent model selection criterion in logistic regression
  36. Using MCMC for Logistic Regression Model Selection Involving Large Number of Candidate Models
  37. Inference on Random Coefficient Models for Haplotype Effects in Dynamic Mutation Using MCMC
  38. Computations and analysis in robust regression model selection using stochastic complexity
  39. Stochastic complexity and model selection from incomplete data
  40. Spatial Sampling Design Based on Stochastic Complexity
  41. COMPUTING MINIMUM DESCRIPTION LENGTH FOR ROBUST LINEAR REGRESSION MODEL SELECTION
  42. On model selection via stochastic complexity in robust linear regression
  43. Some notes on Rissanen's stochastic complexity
  44. Test for homogeneity of several populations by stochastic complexity
  45. Generalised linear model selection by the predictive least quasi-deviance criterion
  46. On stochastic complexity estimation: a decision-theoretic approach
  47. Principal Components Selection by the Criterion of the Minimum Mean Difference of Complexity