activity
20162022
most citedAssessing significance in a Markov chain without mixing

86 citations · 157 across the 7 of their papers we have counts for

collaborators

8 papers

stat.OT2022★ 1 cited

The paradoxical nature of easily improvable evidence

Maria Chikina, Wesley Pegden

Established frameworks to understand problems with reproducibility in science begin with the relationship between our understanding of the prior probability of a claim and the stat…

stat.AP2021

A note on sampling biases in the Bangladesh mask trial

Maria Chikina, Wesley Pegden, Benjamin Recht

A recent cluster trial in Bangladesh randomized 600 villages into 300 treatment/control pairs, to evaluate the impact of an intervention to increase mask-wearing. Data was analyzed…

q-bio.PE2020★ 2 cited

Failure of monotonicity in epidemic models

Maria Chikina, Wesley Pegden

We discuss the failure of monotonicity properties for even simple compartmental epidemic models, for the case where transmission rates are non-constant. We also identify a special…

q-bio.PE2020★ 50 cited

Modeling strict age-targeted mitigation strategies for COVID-19

Maria Chikina, Wesley Pegden

We use a simple SIR-like epidemic model which integrates known age-contact patterns for the United States to model the effect of age-targeted mitigation strategies for a COVID-19-l…

math.PR2019

Separating effect from significance in Markov chain tests

Maria Chikina, Alan Frieze, Jonathan Mattingly +1

We give qualitative and quantitative improvements to theorems which enable significance testing in Markov Chains, with a particular eye toward the goal of enabling strong, interpre…

cs.CL2017★ 18 cited

Phase Conductor on Multi-layered Attentions for Machine Comprehension

Rui Liu, Wei Wei, Weiguang Mao +1

Attention models have been intensively studied to improve NLP tasks such as machine comprehension via both question-aware passage attention model and self-matching attention model.…

stat.AP2017

An analysis of the Act 43 Wisconsin Assembly district map using the test

Maria Chikina, Alan Frieze, Wesley Pegden

In previous work [arXiv:1608.02014], we developed a rigorous statistical test for outlier status in a reversible Markov Chain, and demonstrated its utilization with an application…

math.PR2016★ 86 cited

Assessing significance in a Markov chain without mixing

Maria Chikina, Alan Frieze, Wesley Pegden

We present a new statistical test to detect that a presented state of a reversible Markov chain was not chosen from a stationary distribution. In particular, given a value function…