Pages that link to "Item:Q4701311"
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The following pages link to Improved rates and asymptotic normality for nonparametric neural network estimators (Q4701311):
Displaying 38 items.
- Double Machine Learning for Partially Linear Mixed-Effects Models with Repeated Measurements (Q115461) (← links)
- Estimation of possibly misspecified semiparametric conditional moment restriction models with different conditioning variables (Q288341) (← links)
- Nonparametric likelihood ratio model selection tests between parametric likelihood and moment condition models (Q288350) (← links)
- Time-series estimation of the effects of natural experiments (Q291869) (← links)
- Designing neural networks for modeling biological data: a statistical perspective (Q395741) (← links)
- Sieve estimates via neural network for strong mixing processes (Q701964) (← links)
- Lower estimation of approximation rate for neural networks (Q848260) (← links)
- Boosting GARCH and neural networks for the prediction of heteroskedastic time series (Q984159) (← links)
- Neural networks for bandwidth selection in local linear regression of time series (Q1023573) (← links)
- Solving dynamic discrete choice models using smoothing and sieve methods (Q2043237) (← links)
- Nonlinear autoregressive sieve bootstrap based on extreme learning machines (Q2045710) (← links)
- Measurement error models: from nonparametric methods to deep neural networks (Q2092892) (← links)
- Bounds on the conditional and average treatment effect with unobserved confounding factors (Q2105186) (← links)
- Nonparametric neural network estimation of Lyapunov exponents and a direct test for chaos (Q2439050) (← links)
- Sieve \(M\) inference on irregular parameters (Q2451802) (← links)
- Nonasymptotic bounds on the \(L_{2}\) error of neural network regression estimates (Q2502135) (← links)
- Simultaneous \(\mathbf L^p\)-approximation order for neural networks (Q2568010) (← links)
- Estimation of conditional quantiles using artificial neural networks (Q2721631) (← links)
- Revisiting Tests for Neglected Nonlinearity Using Artificial Neural Networks (Q3015448) (← links)
- Properties of the neural network sieve bootstrap (Q3106424) (← links)
- Estimation of Dynamic Discrete Choice Models Using Artificial Neural Network Approximations (Q5080138) (← links)
- (Q5149257) (← links)
- Comment (Q5406354) (← links)
- An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls (Q5881967) (← links)
- Estimation of the binary response model using a mixture of distributions estimator (MOD) (Q5942683) (← links)
- DEEP EQUILIBRIUM NETS (Q6067145) (← links)
- Semiparametric estimation of long-term treatment effects (Q6090606) (← links)
- Efficient estimation of average derivatives in NPIV models: simulation comparisons of neural network estimators (Q6108330) (← links)
- Orthogonal statistical learning (Q6136574) (← links)
- Causal inference of general treatment effects using neural networks with a diverging number of confounders (Q6193012) (← links)
- Asset pricing with neural networks: significance tests (Q6193024) (← links)
- Using Wasserstein generative adversarial networks for the design of Monte Carlo simulations (Q6199647) (← links)
- Asymptotics of K-fold cross validation (Q6535409) (← links)
- Flexible conditional density estimation for time series (Q6593995) (← links)
- Calibrating doubly-robust estimators with unbalanced treatment assignment (Q6594859) (← links)
- Statistical inference for data-adaptive doubly robust estimators with survival outcomes (Q6627164) (← links)
- Doubly robust estimation of the hazard difference for competing risks data (Q6629966) (← links)
- Estimating the population average treatment effect in observational studies with choice-based sampling (Q6637196) (← links)
