Computational Statistics and Data Analysis
ISSN: 0167-9473
Datasets associated with articles published in Computational Statistics and Data Analysis
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- Data for: Functional Outlier Detection and Taxonomy by Sequential TransformationsThis file includes the data and code that are utilized in the submitted paper "Functional Outlier Detection and Taxonomy by Sequential Transformations".
- Data for: Approximate Filtering of conditional intensity process for Poisson count data: application to Urban CrimeFiles are written in MATLAB 2018a. The files are organised in separate folders according to Sections 3, 4 and 5 in the manuscript.
- Data and Algorithm for: Bayesian Modeling and Computation for Analyte Quantification in Complex Mixtures Using Raman SpectroscopyThis dataset contains our algorithm implementation as well as the Raman spectral data presented in "Bayesian Modeling and Computation for Analyte Quantification in Complex Mixtures Using Raman Spectroscopy". Detailed execution comments are provided in the Python files.
- Data for: ROBUST DESIGNS FOR DOSE-RESPONSE STUDIES: MODEL AND LABELLING ROBUSTNESSMatlab code used in the preparation of ROBUST DESIGNS FOR DOSE-RESPONSE STUDIES: MODEL AND LABELLING ROBUSTNESS
- Data for: Bayesian subgroup analysis in regression using mixture modelsThis Zip file contains Julia program (version 1.1.1) for implementing the cMFM described in "Bayesian subgroup analysis in regression using mixture models."
- Data for: Fast multivariate empirical cumulative distribution function with connection to kernel density estimationSource code (C++) of the fast exact CDF and KDE algorithms described in the research manuscript entitled "Fast multivariate empirical cumulative distribution function with connection to kernel density estimation"
- Data for: Nonparametric Bayesian inference for the spectral density based on irregularly spaced dataThe vertical acceleration (VAC) is an important proxy of the vertical vibration of the hull. Two VAC series (unit: m/s^2) from two measurement points along the hull girder are given. Each data series consists of 1696 observations over 1 hour (3,600 seconds). They are irregularly spaced. See the article for more detailed description.
- R code: Large-scale estimation of random graph models with local dependenceA supplement with all R code used in the revised manuscript. The same supplement has been posted at the following web address: www.stat.rice.edu/~ms88/local.dependence.tar.gz
- Data for: Generalized Co-sparse Factor RegressionHere we provide the "supplementary_example.R" file to reproduce examples in R. Intermediate output in the analysis: CAL500 Data: "cal500_analysis_fulldata.rda" LSOA Data: "lsoa_analysis_fulldata.rda" Preprocessed response data from raw CAL500 data: "CAL500_response.csv" Preprocessed LSOA data: "lsoa_grrr_target44_feature294.rda" Predictor variables description: "feature_3988_294_names.csv" Response variables description: "target_3988_44_names.csv"
- Data for: A Mapping-based Universal Kriging Model for Order-of-addition Experiments in Drug Combination StudiesHere we include both the R codes and data for the case study and simulation examples in the paper.
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