WIMP: Web server tool for missing data imputation
Keywords: داده های گم شده; Imputation; Missing data; Machine learning; Web application;
مقالات ISI داده های گم شده (ترجمه نشده)
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در صورتی که به ترجمه آماده هر یک از مقالات زیر نیاز داشته باشید، می توانید سفارش دهید تا مترجمان با تجربه این مجموعه در اسرع وقت آن را برای شما ترجمه نمایند.
Effect of missing RR-interval data on nonlinear heart rate variability analysis
Keywords: داده های گم شده; Heart rate variability (HRV); Missing data; Nonlinear; Ubiquitous healthcare;
Feature selection with missing data using mutual information estimators
Keywords: داده های گم شده; Feature selection; Missing data; Mutual information
A cautionary note on generalized linear models for covariance of unbalanced longitudinal data
Keywords: داده های گم شده; Cholesky decomposition; Missing data; Joint mean-covariance modeling;
Efficient estimation for incomplete multivariate data
Keywords: داده های گم شده; EM algorithm; Estimating function; Fisher scoring algorithm; Godambe information matrix; Missing data; REML estimation;
Maternal perinatal depression is not independently associated with child body mass index in the Generation R Study: methods and missing data matter
Keywords: داده های گم شده; Child overweight; Perinatal depression; Postpartum depression; Multiple imputation; Missing data; Developmental origins of health and disease;
Move over LOCF: Principled methods for handling missing data in sleep disorder trials
Keywords: داده های گم شده; Sleep trials; Missing data; Last observation carried forward; Multiple imputation; Mixed-effects models; Longitudinal data
Multivariate random effect models with complete and incomplete data
Keywords: داده های گم شده; 62H12; 62J10Maximum likelihood; Hierarchical likelihood; EM algorithm; Missing data
Inducible regularization for low-rank matrix factorizations for collaborative filtering
Keywords: داده های گم شده; Regularization; Matrix factorization; Collaborative filtering; Missing data; Over-fitting
Who loses in direct democracy?
Keywords: داده های گم شده; Ballot propositions; Racial minorities; Social class; Voting; Missing data
Nearest neighbor selection for iteratively kNN imputation
Keywords: داده های گم شده; Missing data; k nearest neighbors; kNN imputation
Analysis of cyanobacteria bloom in the Waihai part of Dianchi Lake, China
Keywords: داده های گم شده; Missing data; Multiple imputation; Logistic regression; Cyanobacteria bloom
Radical instability and spurious branch support by likelihood when applied to matrices with non-random distributions of missing data
Keywords: داده های گم شده; Bootstrap; Branch support; Homogeneous model; Likelihood artifacts; Missing data; Supermatrix;
Supermatrices, supertrees and serendipitous scaffolding: Inferring a well-resolved, genus-level phylogeny of Styphelioideae (Ericaceae) despite missing data
Keywords: داده های گم شده; Bayesian; Epacridaceae; Maximum likelihood; Missing data; Matrix Representation with Parsimony; Scaffold concept;
Multiple imputation of missing fMRI data in whole brain analysis
Keywords: داده های گم شده; Missing data; fMRI; Group analysis; Multiple imputation; Replacement; Neuroimaging methods;
Non-parametric regression for space-time forecasting under missing data
Keywords: داده های گم شده; Kernel regression; Missing data; Spatio-temporal; Transport; Journey time; Imputation;
Model selection of generalized partially linear models with missing covariates
Keywords: داده های گم شده; p-Spline; Missing data; Model selection; AIC; EM algorithm
Non-response in social networks: The impact of different non-response treatments on the stability of blockmodels
Keywords: داده های گم شده; Network; Actor non-response; Blockmodeling; Missing data; Imputation;
Measurement error in network data: A re-classification
Keywords: داده های گم شده; Measurement error; Missing data; Simulation
Implementing a cumulative supermatrix approach for a comprehensive phylogenetic study of the Teloschistales (Pezizomycotina, Ascomycota)
Keywords: داده های گم شده; Bayesian inference; Caliciales; Lichens; Maximum likelihood; Missing data; Supermatrix; Teloschistales
Analyzing longitudinal clinical trial data with nonignorable missingness and unknown missingness reasons
Keywords: داده های گم شده; Bound analysis; Clinical trial; Genetic algorithm; Missing data; Multinomial logit model; Sensitivity analysis
A comparison of imputation methods for handling missing scores in biometric fusion
Keywords: داده های گم شده; Missing data; Imputation; Multibiometric fusion
Reconstruction of a 3D surface from video that is robust to missing data and outliers: Application to minimally invasive surgery using stereo and mono endoscopes
Keywords: داده های گم شده; 3D reconstruction; Structure from motion; Minimally invasive surgery; Image guided intervention; Missing data
The retrieval of intra-day trend and its influence on traffic prediction
Keywords: داده های گم شده; Traffic prediction; Missing data; Traffic breakdown;
Estimating discrete Markov models from various incomplete data schemes
Keywords: داده های گم شده; Bayesian inference; Industrial reliability; Missing data; Markov models; Adaptive MCMC; Gaussian copulas
A method for increasing the robustness of multiple imputation
Keywords: داده های گم شده; Doubly robust estimation; Missing data; Multiple imputation
Multiple Imputation in Trauma Disparity Research1
Keywords: داده های گم شده; missing data; multiple imputation; trauma outcomes; disparity; race; insurance
Data withdrawal in randomized controlled trials: Defining the problem and proposing solutions: A commentary
Keywords: داده های گم شده; Participant withdrawal; Data withdrawal; Randomized controlled clinical trials; Missing data
Asymptotic distributions of maxima of complete and incomplete samples from strongly dependent stationary Gaussian sequences
Keywords: داده های گم شده; Asymptotic distribution; Maximum; Strongly dependent stationary Gaussian sequence; Missing data;
Factors associated with missing data in an experience sampling investigation of substance use determinants
Keywords: داده های گم شده; Missing data; Bias; Experience Sampling Method; Substance use
Missing data imputation in multivariate data by evolutionary algorithms
Keywords: داده های گم شده; Missing data; Evolutionary optimization; Multivariate analysis; Multiple data imputation
A Method to Estimate Off-Schedule Observations in a Longitudinal Study
Keywords: داده های گم شده; Epidemiologic Methods; Linear Interpolation; Mammography; Missing Data; Multiple ImputationSWAN, Study of Women’s Health Across the Nation; BMI, body mass index; LLI, local linear interpolation
Multiple imputation was an efficient method for harmonizing the Mini-Mental State Examination with missing item-level data
Keywords: داده های گم شده; Mini-Mental State Examination; Dementia; Cognitive impairment; Multiple imputation; Missing data; DYNOPTA
Methods for Using Data Abstracted from Medical Charts to Impute Longitudinal Missing Data in a Clinical Trial
Keywords: داده های گم شده; blood pressure; clinical trials; imputation; longitudinal data; missing data
Retrieving a mitogenomic mammal tree using composite taxa
Keywords: داده های گم شده; Composite sequences; Computer simulations; Congruence; DNA sequences; Missing data; Phylogenetic accuracy; Phylogenomics; Supermatrices;
Diagnose the mild cognitive impairment by constructing Bayesian network with missing data
Keywords: داده های گم شده; Mild cognitive impairment (MCI); Missing data; Bayesian network; Mutual information; Newton interpolation
Missing value imputation on missing completely at random data using multilayer perceptrons
Keywords: داده های گم شده; Multilayer perceptron; Hot-deck model; Imputation; Mean/mode model; Missing data; Regression model
Model selection for zero-inflated regression with missing covariates
Keywords: داده های گم شده; Zero-inflation; Missing data; Model selection; AIC; EM algorithm
An empirical likelihood approach to data analysis under two-stage sampling designs
Keywords: داده های گم شده; primary, 62G05; secondary, 62G20Empirical likelihood; Missing data; Over-identified; Two-stage sampling; Validation sample
Approximate bounded influence estimation for longitudinal data with outliers and measurement errors
Keywords: داده های گم شده; Measurement error; Missing data; Mixed models; Outliers; Robust methods;
Parameter estimation with scarce measurements
Keywords: داده های گم شده; Parameter estimation; Recursive identification; Stochastic gradient; Missing data; Multi-innovation identification
Estimation from aggregate data
Keywords: داده های گم شده; Aggregate data; Missing data; Survival function; Hazard rate; EM and MCEM algorithms; Metropolis–Hastings algorithm
Application of cellular neural network (CNN) to the prediction of missing air pollutant data
Keywords: داده های گم شده; Missing data; Air quality; Particulate matter (PM); Sulfur dioxide (SO2); Meteorology; Cellular Neural Network (CNN)
The effect of missing data on wind resource estimation
Keywords: داده های گم شده; Wind power; Missing data; Investment analysis
Distribution estimation with auxiliary information for missing data
Keywords: داده های گم شده; Auxiliary information; Empirical distribution function; Empirical likelihood; Estimating equations; Kernel regression; Missing data; Quantile estimation; Semi-parametric imputation
Empirical likelihood calibration estimation for the median treatment difference in observational studies
Keywords: داده های گم شده; Calibration; Casual inference; Empirical likelihood; Median treatment effect; Missing data; Selection bias
Spurious 99% bootstrap and jackknife support for unsupported clades
Keywords: داده های گم شده; Frequency-within-replicates bootstrap; Jackknife; Majority rule consensus; Missing data; Undersampling-within-replicates artifact; Unsupported clade;
Data-driven local bandwidth selection for additive models with missing data
Keywords: داده های گم شده; Missing data; Imputation; Wild Bootstrap; Smoothing parameter; Backfitting
Scoring rules and survey density forecasts
Keywords: داده های گم شده; Density forecast evaluation; Brier (quadratic probability) score; Epstein (ranked probability) score; Logarithmic score; Bank of England Survey of External Forecasters; Missing data; Forecast comparison
Scalable tensor factorizations for incomplete data
Keywords: داده های گم شده; Missing data; Incomplete data; Tensor factorization; CANDECOMP; PARAFAC; Optimization