scholarly journals The feedback negativity reflects favorable compared to nonfavorable outcomes based on global, not local, alternatives

2012 ◽  
Vol 50 (2) ◽  
pp. 134-138 ◽  
Author(s):  
Autumn Kujawa ◽  
Ezra Smith ◽  
Christian Luhmann ◽  
Greg Hajcak
Keyword(s):  
Local Alternatives ◽  
Feedback Negativity

scholarly journals AN ADAPTIVE TEST OF STOCHASTIC MONOTONICITY

2020 ◽  
pp. 1-42
Author(s):  
Denis Chetverikov ◽  
Daniel Wilhelm ◽  
Dongwoo Kim
Keyword(s):  
Monte Carlo ◽  
Conditional Distribution ◽  
Asymptotic Properties ◽  
Nonparametric Test ◽  
Critical Value ◽  
Data Driven ◽  
Local Alternatives ◽  
Stochastic Monotonicity ◽  
Adaptive Test ◽  
Finite Samples

We propose a new nonparametric test of stochastic monotonicity which adapts to the unknown smoothness of the conditional distribution of interest, possesses desirable asymptotic properties, is conceptually easy to implement, and computationally attractive. In particular, we show that the test asymptotically controls size at a polynomial rate, is nonconservative, and detects certain smooth local alternatives that converge to the null with the fastest possible rate. Our test is based on a data-driven bandwidth value and the critical value for the test takes this randomness into account. Monte Carlo simulations indicate that the test performs well in finite samples. In particular, the simulations show that the test controls size and, under some alternatives, is significantly more powerful than existing procedures.

It's worse than you thought: The feedback negativity and violations of reward prediction in gambling tasks

2007 ◽  
Vol 44 (6) ◽  
pp. 905-912 ◽  
Author(s):  
Greg Hajcak ◽  
Jason S. Moser ◽  
Clay B. Holroyd ◽  
Robert F. Simons
Keyword(s):  
Reward Prediction ◽  
Feedback Negativity

Composite likelihood model comparison test under fixed and local alternatives

Stat ◽  
2018 ◽  
Vol 7 (1) ◽  
pp. e182
Author(s):  
Yawen Xu ◽  
Xin Gao ◽  
Xiaogang Wang ◽  
Augustine Wong
Keyword(s):  
Model Comparison ◽  
Composite Likelihood ◽  
Local Alternatives ◽  
Comparison Test ◽  
Likelihood Model
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