Yingyao Hu

Selected Publications

Nonparametric learning rules from bandit experiments: the eyes have it!

How do people learn? We assess, in a model-free manner, subjectsʼ belief dynamics in a two-armed […]

Yingyao Hu, Yutaka Kayaba, Matthew Shum
30 September 2013 | Journal Article

Previous version

Nonparametric learning rules from bandit experiments: the eyes have it!
Yingyao Hu, Yutaka Kayaba, Matthew Shum
10 June 2010 | CWP15/10
Nonparametric identification and semiparametric estimation of classical measurement error models without side information

Virtually all methods aimed at correcting for covariate measurement error in regressions rely on some form […]

Susanne M. Schennach, Yingyao Hu
1 March 2013 | Journal Article

Previous version

Nonparametric identification and semiparametric estimation of classical measurement error models without side information

Virtually all methods aimed at correcting for covariate measurement error in regressions rely on some form […]

Susanne M. Schennach, Yingyao Hu
3 December 2012 | CWP40/12

Latest version

Nonparametric identification of dynamic models with unobserved state variables

We consider the identification of a Markov process when only {Wt} is observed. In structural dynamic […]

Yingyao Hu, Matthew Shum
30 November 2012 | Journal Article

Previous version

Well-posedness of measurement error models for self-reported data

This paper considers the widely admitted ill-posed inverse problem for measurement error models: estimating the distribution […]

Yonghong An, Yingyao Hu
30 June 2012 | Journal Article

Previous version

Well-posedness of measurement error models for self-reported data
Yonghong An, Yingyao Hu
3 December 2009 | CWP35/09
Estimating production functions with robustness against errors in the proxy variables

This paper proposes a new semi-nonparametric maximum likelihood estimation method for estimating production functions. The method […]

Guofang Huang, Yingyao Hu
15 November 2011 | CWP35/11
Nonparametric identification using instrumental variables: sufficient conditions for completeness

This paper provides sufficient conditions for the nonparametric identification of the regression function m(.) in a […]

Yingyao Hu, Ji-Liang Shiu
25 June 2011 | CWP25/11
Nonparametric identification of dynamic models with unobserved state variables

We consider the identification of a Markov process {Wt, Xt*} for t=1,2,…,T when only {Wt} for […]

Yingyao Hu, Matthew Shum
1 July 2010 | Journal Article
Nonparametric learning rules from bandit experiments: the eyes have it!

We estimate nonparametric learning rules using data from dynamic two-armed bandit (probabilistic reversal learning) experiments, supplemented […]

Yingyao Hu, Yutaka Kayaba, Matthew Shum
10 June 2010 | CWP15/10

Latest version

Nonparametric learning rules from bandit experiments: the eyes have it!
Yingyao Hu, Yutaka Kayaba, Matthew Shum
30 September 2013 | Journal Article
Well-posedness of measurement error models for self-reported data

It is widely admitted that the inverse problem of estimating the distribution of a latent variable […]

Yonghong An, Yingyao Hu
3 December 2009 | CWP35/09

Latest version

Well-posedness of measurement error models for self-reported data
Yonghong An, Yingyao Hu
30 June 2012 | Journal Article