Pages that link to "Item:Q3725345"

The following pages link to Estimating Optimal Transformations for Multiple Regression and Correlation (Q3725345):

Displaying 50 items.

• Nonparametric shape-restricted regression (Q1730903) (← links)
• Statistical tests in the partially linear additive regression models (Q1731204) (← links)
• Bayesian variable selection in linear regression (Q1733296) (← links)
• Testing if a nonlinear system is additive or not (Q1737916) (← links)
• Learning the geometry of common latent variables using alternating-diffusion (Q1742815) (← links)
• Optimal estimation of slope vector in high-dimensional linear transformation models (Q1755121) (← links)
• Optimal transformations for prediction in continuous-time stochastic processes: finite past and future (Q1773989) (← links)
• Two-step estimation of time-varying additive model for locally stationary time series (Q1799876) (← links)
• Variable selection in high-dimensional partially linear additive models for composite quantile regression (Q1800107) (← links)
• Nonlinear canonical analysis and independence tests (Q1807119) (← links)
• Optimization problems for weighted graphs and related correlation estimates (Q1827724) (← links)
• Fourier series approximation of separable models (Q1860392) (← links)
• How well can a regression function be estimated if the distribution of the (random) design is concentrated on a finite set? (Q1877843) (← links)
• A user-oriented overview of multiway methods and software (Q1896204) (← links)
• Bayesian variable selection in generalized linear models using a combination of stochastic optimization methods (Q1926754) (← links)
• Optimal asymmetric kernels (Q1927459) (← links)
• Canonical dependency analysis based on squared-loss mutual information (Q1942697) (← links)
• A new flexible direct ROC regression model: application to the detection of cardiovascular risk factors by anthropometric measures (Q1942903) (← links)
• Data-driven wavelet-Fisz methodology for nonparametric function estimation (Q1951777) (← links)
• Reconstruction of nonlinear time delay models from data by the use of optimal transformations. (Q1968471) (← links)
• Integration and backfitting methods in additive models -- finite sample properties and comparison (Q1969432) (← links)
• A parallel solver for generalised additive models (Q1978411) (← links)
• Pairwise fusion approach incorporating prior constraint information (Q1988277) (← links)
• Robust estimation for the varying coefficient partially nonlinear models (Q2012585) (← links)
• Calibrating dependence between random elements (Q2031009) (← links)
• The Box-Cox transformation: review and extensions (Q2038300) (← links)
• Two-stage estimation and simultaneous confidence band in partially nonlinear additive model (Q2051519) (← links)
• Provably optimal sparse solutions to overdetermined linear systems with non-negativity constraints in a least-squares sense by implicit enumeration (Q2069147) (← links)
• Measuring timeliness of annual reports filing by jump additive models (Q2078728) (← links)
• Estimation for partial functional partially linear additive model (Q2084069) (← links)
• Estimation for partially linear additive regression with spatial data (Q2110355) (← links)
• Optimization hierarchy for fair statistical decision problems (Q2112802) (← links)
• Unified statistical inference for a nonlinear dynamic functional/longitudinal data model (Q2123262) (← links)
• Estimation and diagnostic for partially linear models with first-order autoregressive skew-normal errors (Q2135870) (← links)
• Automatic differentiation and maximal correlation of order statistics from discrete parents (Q2135943) (← links)
• Minimal \(\sigma\)-field for flexible sufficient dimension reduction (Q2137787) (← links)
• Extreme eigenvalues of nonlinear correlation matrices with applications to additive models (Q2145814) (← links)
• A least-squares Monte Carlo approach to the estimation of enterprise risk (Q2153521) (← links)
• Sieve extremum estimation of a semiparametric transformation model (Q2179767) (← links)
• Rejoinder: Models as approximations (Q2194578) (← links)
• Multiple imputation and functional methods in the presence of measurement error and missingness in explanatory variables (Q2203420) (← links)
• Equitability, interval estimation, and statistical power (Q2218039) (← links)
• On transformed linear cointegration models (Q2226956) (← links)
• Support vector regression for polyhedral and missing data (Q2241195) (← links)
• Optimal scaling by alternating length-constrained nonnegative least squares, with application to distance-based analysis (Q2250647) (← links)
• Prediction and classification in nonlinear data analysis: something old, something new, something borrowed, something blue (Q2259888) (← links)
• Estimation of generalized additive models (Q2277702) (← links)
• Popular raster-based methods of prospectivity modeling and their relationships (Q2284100) (← links)
• Additive models with trend filtering (Q2284363) (← links)
• A novel Bayesian approach for variable selection in linear regression models (Q2291315) (← links)