Chad Brown

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econ.EM2026

Estimation of distribution functions, their jumps and interval probabilities under measurement error

Kairat Mynbaev, Carlos Martins-Filho, Chad Brown

We consider the classical additive measurement-error model $X = Y + Z$ , where the latent random variable $Y$ has unknown distribution $F_{Y}$ and the error $Z$ has a known distribution.…

econ.EM2024

Inference in Partially Linear Models under Dependent Data with Deep Neural Networks

Chad Brown

I consider inference in a partially linear regression model under stationary $β$ -mixing data after first stage deep neural network (DNN) estimation. Using the DNN results of Brown…