7 papers
Why Constants Matter in Distribution Testing: From Uniformity to Calibration
Alon Kipnis
Distribution goodness-of-fit testing has developed a powerful rate-level theory: we often know how the required sample size scales with the alphabet size, the separation from the n…
Sharp Lower Bound on the Minimax Risk for Multinomial Uniformity Testing via a Conditional Central Limit Theorem
Alon Kipnis
We study minimax goodness-of-fit testing for uniformity from multinomial observations over categories against departures of size . Writing $u_n:=ε_n^2 n\,N^…
The Minimax Risk in Testing Uniformity over Large Alphabets under Missing-Ball Alternatives
Alon Kipnis
We study the problem of testing the goodness of fit of categorical count data to a Poisson distribution uniform over the categories, against a class of alternatives defined by excl…
Robust Extended Kalman Filter for Land Navigation Using Massive Array of MEMS IMUs
Omer Hanani, Alon Kipnis
We propose a robust Extended Kalman Filter (EKF) architecture for land navigation using an array of hundreds of low-cost micro-electromechanical systems (MEMS) inertial sensors. Th…
Higher criticism for rare and weak non-proportional hazard deviations in survival analysis
Alon Kipnis, Ben Galili, Zohar Yakhini
We propose a method for comparing survival data based on the higher criticism of p-values obtained from multiple exact hypergeometric tests. The method accommodates non-informative…
Higher-criticism for sparse multi-stream change-point detection
Tingnan Gong, Alon Kipnis, Yao Xie
We study a statistical procedure based on higher criticism (HC) to address the sparse multi-stream quickest change-point detection problem. Namely, we aim to detect a potential cha…