Results 21 to 30 of about 997,357 (330)
Distributed Hypothesis Testing over Noisy Broadcast Channels
Information, 2021 This paper studies binary hypothesis testing with a single sensor that communicates with two decision centers over a memoryless broadcast channel. The main focus lies on the tradeoff between the two type-II error exponents achievable at the two decision ...
Sadaf Salehkalaibar, Michèle Wigger
doaj +1 more source
Unbiased Fuzzy Estimators in Fuzzy Hypothesis Testing
Algorithms, 2021 In this paper, we develop fuzzy, possibilistic hypothesis tests for testing crisp hypotheses for a distribution parameter from crisp data. In these tests, fuzzy statistics are used, which are produced by the possibility distribution of the estimated ...
Nikos Mylonas, Basil Papadopoulos
doaj +1 more source
Distributed Hypothesis Testing with Privacy Constraints
Entropy, 2019 We revisit the distributed hypothesis testing (or hypothesis testing with communication constraints) problem from the viewpoint of privacy. Instead of observing the raw data directly, the transmitter observes a sanitized or randomized version of it.
Atefeh Gilani +3 more
doaj +1 more source
Worst-case Quantum Hypothesis Testing with Separable Measurements [PDF]
Quantum, 2020 For any pair of quantum states (the hypotheses), the task of binary quantum hypotheses testing is to derive the tradeoff relation between the probability $p_{01}$ of rejecting the null hypothesis and $p_{10}$ of accepting the alternative hypothesis.
Le Phuc Thinh +2 more
doaj +1 more source
Quantum hypothesis testing via robust quantum control
New Journal of Physics, 2023 Quantum hypothesis testing plays a pivotal role in quantum technologies, making decisions or drawing conclusions about quantum systems based on observed data.
Han Xu +3 more
doaj +1 more source
Statistical Limits for Testing Correlation of Hypergraphs [PDF]
arXiv, 2022 In this paper, we consider the hypothesis testing of correlation between two $m$-uniform hypergraphs on $n$ unlabelled nodes. Under the null hypothesis, the hypergraphs are independent, while under the alternative hypothesis, the hyperdges have the same marginal distributions as in the null hypothesis but are correlated after some unknown node ...
arxiv
P-value: A Bless or A Curse for Evidence-Based Studies? [PDF]
Reconnecting p-value and posterior probability under one- and
two-sided tests. The American Statistician 2020, 2018 As a convention, p-value is often computed in frequentist hypothesis testing and compared with the nominal significance level of 0.05 to determine whether or not to reject the null hypothesis. The smaller the p-value, the more significant the statistical test. We consider both one-sided and two-sided hypotheses in the composite hypothesis setting.
arxiv +1 more source
Optimal Hypothesis Testing Based on Information Theory [PDF]
arXiv, 2023 There has a major problem in the current theory of hypothesis testing in which no unified indicator to evaluate the goodness of various test methods since the cost function or utility function usually relies on the specific application scenario, resulting in no optimal hypothesis testing method.
arxiv
Hypothesis testing in Bayesian network meta-analysis
BMC Medical Research Methodology, 2018 Background Network meta-analysis is an extension of the classical pairwise meta-analysis and allows to compare multiple interventions based on both head-to-head comparisons within trials and indirect comparisons across trials.
Lorenz Uhlmann +2 more
doaj +1 more source
Hypothesis Testing Based Side-Channel Collision Analysis
IEEE Access, 2019 Side-channel collision analysis has become a research hotspot since its first publication in 2003. Compared with differential power analysis (DPA) and correlation power analysis (CPA), collision analysis does not need to know the intermediate value and ...
Dong Zheng, Xiang Jia, Meiling Zhang
doaj +1 more source