The following pages link to Statistics and Its Interface (Q112759):
Displaying 50 items.
- Spatial Weibull regression with multivariate log gamma process and its applications to China earthquake economic loss (Q2073560) (← links)
- Pathway Lasso: pathway estimation and selection with high-dimensional mediators (Q2073561) (← links)
- Subset selection of double-threshold moving average models through the application of the Bayesian method (Q2073563) (← links)
- Stochastic diffusion process based on Goel-Okumoto curve: statistical inference and application to real data (Q2073565) (← links)
- Rate-efficient asymptotic normality for the Fourier estimator of the leverage process (Q2073567) (← links)
- A generalized semi-parametric model for jointly analyzing response times and accuracy in computerized testing (Q2073568) (← links)
- Bayesian estimation for partially linear varying coefficient spatial autoregressive models (Q2073569) (← links)
- Further study on testing the equality of response rates under Dallal's model (Q2073570) (← links)
- Estimation of Hilbertian varying coefficient models (Q2116943) (← links)
- Discussion of ``Estimation of Hilbertian varying coefficient models'' (Q2116944) (← links)
- Distribution free prediction intervals for multiple functional regression (Q2116945) (← links)
- Sparse logistic regression on functional data (Q2116949) (← links)
- Stochastic functional linear models for gene-based association analysis of quantitative traits in longitudinal studies (Q2116957) (← links)
- A sequential Monte Carlo Gibbs coupled with stochastically approximated expectation-maximization algorithm for functional data (Q2116959) (← links)
- Covariate-adjusted hybrid principal components analysis for region-referenced functional EEG data (Q2116962) (← links)
- Principal wave analysis for high-dimensional structured data with applications to epigenomics and neuroimaging studies (Q2116963) (← links)
- Average treatment effect estimation in observational studies with functional covariates (Q2116965) (← links)
- A new k-nearest neighbors classifier for functional data (Q2116966) (← links)
- Link prediction via latent space logistic regression model (Q2116967) (← links)
- Empirical likelihood-based estimation and inference in randomized controlled trials with high-dimensional covariates (Q2116968) (← links)
- Variable selection for time-varying effects based on interval-censored failure time data (Q2116969) (← links)
- Estimation of conditional average treatment effect by covariates balance methods (Q2116971) (← links)
- Local neighborhood-based approach of link prediction in networks (Q2116972) (← links)
- Paired-sample tests for homogeneity with/without confounding variables (Q2116973) (← links)
- Estimation of preclinical state onset age and sojourn time for heavy smokers in lung cancer (Q2116975) (← links)
- Depth-invariant beamforming for functional connectivity with MEG data (Q2116976) (← links)
- Multiple penalized regularization for clusters with varying correlation levels (Q2116979) (← links)
- Asymptotic in a class of network models with a difference private degree sequence (Q2116980) (← links)
- Causal measures using generalized difference-in-difference approach with nonlinear models (Q2116984) (← links)
- Sufficient dimension reduction for spatial point processes using weighted principal support vector machines (Q2116986) (← links)
- Testing high-dimensional covariance matrices with random projections and corrected likelihood ratio (Q2116988) (← links)
- A Gibbs sampler for estimating the graded item response model with likert-scale data via the Pólya-Gamma distribution: a calculationally efficient data-augmentation scheme (Q2116989) (← links)
- Multivariate skew Laplace normal distribution for modeling skewness and heavy-tailedness in multivariate data sets (Q2116990) (← links)
- Semiparametric transformation models of survival-out-of-hospital (Q2116991) (← links)
- When to initiate cancer screening exam? (Q2116992) (← links)
- The more data, the better? Demystifying deletion-based methods in linear regression with missing data (Q2116994) (← links)
- Multivariate Bernstein Fréchet copulas (Q2116996) (← links)
- Editorial: Special issue on recent developments incomplex time series analysis. I (Q2172361) (← links)
- On dual-asymmetry linear double AR models (Q2172363) (← links)
- Generalized Gaussian time series model for increments of EEG data (Q2172366) (← links)
- Forecasting industrial production indices with a new singular spectrum analysis forecasting algorithm (Q2172368) (← links)
- Testing threshold effect in single-index models (Q2172369) (← links)
- Analyses of the impact of country specific macro risk variables on gold futures contract and its position as an asset class: evidence from India (Q2172371) (← links)
- Hierarchical dynamic PARCOR models for analysis of multiple brain signals (Q2172372) (← links)
- Robust conditional spectral analysis of replicated time series (Q2172373) (← links)
- AutoSpec: detection of narrowband frequency changes in time series (Q2172374) (← links)
- Study of automatic choice of parameters for forecasting in singular spectrum analysis (Q2172376) (← links)
- Low-rank signal subspace: parameterization, projection and signal estimation (Q2172377) (← links)
- The elliptical Ornstein-Uhlenbeck process (Q2172380) (← links)
- Detection of signals by Monte Carlo singular spectrum analysis: multiple testing (Q2172381) (← links)
