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- Jin Seo Cho, Halbert White, +12 authors Ehsan S. Soofi
- 2007

We analyze use of a quasi-likelihood ratio statistic for a mixture model to test the null hypothesis of one regime versus the alternative of two regimes in a Markov regimeswitching context. This testâ€¦ (More)

- Yae In Baek, Jin Seo Cho, Peter C. B. Phillips COWLES
- 2015

We develop a method of testing linearity using power transforms of regressors, allowing for stationary processes and time trends. The linear model is a simplifying hypothesis that derives from theâ€¦ (More)

- Halbert White, Jin Seo Cho
- Neural Computation
- 2012

We illustrate the need to use higher-order (specifically sixth-order) expansions in order to properly determine the asymptotic distribution of a standard artificial neural network test for neglectedâ€¦ (More)

Statistics are developed to test for the presence of an asymptotic discontinuity (or infinite density or peakedness) in a probability density at the median. The approach makes use of work by Knightâ€¦ (More)

We study Kolmogorov-Smirnov goodness of fit tests for evaluating distributional hypotheses where unknown parameters need to be fitted. Following work of Pollard (1979), our approach uses a CramÃ©rvonâ€¦ (More)

- Yae In Baek, Jin Seo Cho, Peter C. B. Phillips
- 2013

We develop a method of testing linearity using power transforms of regressors, allowing for stationary processes and time trends. The linear model is a simplifying hypothesis that derives from theâ€¦ (More)

- Jin Seo Cho
- IEEE 2011 International SOI Conference
- 2011

â€¢ Floating body effect provide unique sensing scheme â€¢ Small capacitance degrades retention characteristics â€¢ Cache replacement or logic compatible memory is not feasible â€¢ DRAM replacement memoryâ€¦ (More)

- Jin Seo Cho
- 2015

We provide a new test for equality of two symmetric positive-definite matrices that leads to a convenient mechanism for testing specification using the information matrix equality and the sandwichâ€¦ (More)

- Jin Seo Cho, Isao Ishida, Halbert White
- Neural Computation
- 2011

Tests for regression neglected nonlinearity based on artificial neural networks (ANNs) have so far been studied by separately analyzing the two ways in which the null of regression linearity canâ€¦ (More)

- Jin Seo Cho, Halbert White
- Neurocomputing
- 2011

Testing the correct model specification hypothesis for artificial neural network (ANN) models of the conditional mean is not standard. The traditional Wald, Lagrange multiplier, and quasi-likelihoodâ€¦ (More)