Pages that link to "Item:Q3111201"
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The following pages link to Linear or Nonlinear? Automatic Structure Discovery for Partially Linear Models (Q3111201):
Displaying 34 items.
- Variable selection for semiparametric varying-coefficient spatial autoregressive models with a diverging number of parameters (Q5078507) (← links)
- Semiparametric Bayesian networks for continuous data (Q5079188) (← links)
- Statistical inference for semiparametric varying -coefficient spatial autoregressive models under restricted conditions (Q5082971) (← links)
- Efficient Estimation of the Partly Linear Additive Hazards Model with Current Status Data (Q5177964) (← links)
- Simultaneous structure estimation and variable selection in partial linear varying coefficient models for longitudinal data (Q5220801) (← links)
- Bayesian Additive Machine: classification with a semiparametric discriminant function (Q5222366) (← links)
- Structural identification and variable selection in high-dimensional varying-coefficient models (Q5266564) (← links)
- Automatic structure discovery for varying-coefficient partially linear models (Q5368805) (← links)
- Partially linear additive quantile regression in ultra-high dimension (Q5963523) (← links)
- Variable selection and estimation for partially linear single-index models with longitudinal data (Q5963730) (← links)
- Bayesian quantile regression for partially linear additive models (Q5963735) (← links)
- A selective review of group selection in high-dimensional models (Q5965305) (← links)
- Automatic variable selection for semiparametric spatial autoregressive model (Q6049848) (← links)
- Discussion (Q6064066) (← links)
- Robust partially linear trend filtering for regression estimation and structure discovery (Q6085778) (← links)
- Sieve Estimation of a Class of Partially Linear Transformation Models With Interval-Censored Competing Risks Data (Q6086161) (← links)
- Inference for partially linear additive higher-order spatial autoregressive model with spatial autoregressive error and unknown heteroskedasticity (Q6116459) (← links)
- Linear and nonlinear signal detection and estimation in high-dimensional nonparametric regression under weak sparsity (Q6137725) (← links)
- Two-stage Walsh-average-based robust estimation and variable selection for partially linear additive spatial autoregressive models (Q6138715) (← links)
- Structure learning via unstructured kernel-based M-estimation (Q6184881) (← links)
- Structure discovery and parametrically guided regression (Q6539180) (← links)
- Additive partially linear models for ultra-high-dimensional regression (Q6541498) (← links)
- Distributed debiased estimation of high-dimensional partially linear models with jumps (Q6554229) (← links)
- Rank-based instrumental variable estimation for semiparametric varying coefficient spatial autoregressive models (Q6579399) (← links)
- GMM estimation and variable selection of partially linear additive spatial autoregressive model (Q6579423) (← links)
- Iterative adaptive robust variable selection in nomparametric additive models (Q6592367) (← links)
- Statistical inference of partially linear spatial autoregressive model under constraint conditions (Q6594998) (← links)
- Semiparametric efficient estimation in high-dimensional partial linear regression models (Q6608193) (← links)
- Homogeneity and Structure Identification in Semiparametric Factor Models (Q6620862) (← links)
- Estimation of semiparametric spatial autoregressive model with missing data (Q6624110) (← links)
- Data-adaptive additive modeling (Q6625660) (← links)
- Semiparametric Bayesian variable selection for gene-environment interactions (Q6627474) (← links)
- Partially linear single-index generalized mean residual life models (Q6628210) (← links)
- Partially linear monotone methods with automatic variable selection and monotonicity direction discovery (Q6629808) (← links)
