3 citations · 5 across the 6 of their papers we have counts for
6 papers
Adaptive Sequential Change Detection using Mixtures of Predictive Distributions
Topi Halme, H. Vincent Poor, Visa Koivunen
This paper studies the problem of detecting a change in the distribution of a sequence of independent observations when the post-change distribution is unknown. We propose a novel…
Multi-stream Quickest Change Detection: Foundations and Recent Advances
Topi Halme, Visa Koivunen
This paper provides an overview of recent developments in quickest change detection (QCD) for high-dimensional multi-sensor systems, with an emphasis on settings involving structur…
Quickest Change Detection for Multiple Data Streams Using the James-Stein Estimator
Topi Halme, Venugopal V. Veeravalli, Visa Koivunen
The problem of quickest change detection is studied in the context of detecting an arbitrary unknown mean-shift in multiple independent Gaussian data streams. The James-Stein estim…
Decomposing Basketball Team Efficiency Using the Four Factors and Shapley Values
Jirka Poropudas, Topi Halme
Understanding how different aspects of basketball performance translate into overall team efficiency is central to analysis and strategy. This paper derives a mathematical expressi…
Bayesian Quickest Detection of Propagating Spatial Events
Topi Halme, Eyal Nitzan, Visa Koivunen
Rapid detection of spatial events that propagate across a sensor network is of wide interest in many modern applications. In particular, in communications, radar, IoT, environmenta…
Bayesian Methods for Multiple Change-Point Detection with Reduced Communication
Eyal Nitzan, Topi Halme, Visa Koivunen
In many modern applications, large-scale sensor networks are used to perform statistical inference tasks. In this paper, we propose Bayesian methods for multiple change-point detec…