Results 21 to 30 of about 4,789,647 (304)

Unbiased Fuzzy Estimators in Fuzzy Hypothesis Testing

open access: yesAlgorithms, 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

Hypothesis Testing in Econometrics [PDF]

open access: yesSSRN Electronic Journal, 2009
This article reviews important concepts and methods that are useful for hypothesis testing. First, we discuss the Neyman-Pearson framework. Various approaches to optimality are presented, including finite-sample and large-sample optimality. Then, we summarize some of the most important methods, as well as resampling methodology, which is useful to set ...
Romano, Joseph P   +2 more
openaire   +6 more sources

Distributed Hypothesis Testing over Noisy Broadcast Channels

open access: yesInformation, 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

Humans combine value learning and hypothesis testing strategically in multi-dimensional probabilistic reward learning

open access: yes, 2023
Realistic and complex decision tasks often allow for many possible solutions. How do we find the correct one? Introspection suggests a process of trying out solutions one after the other until success.
Persis A. Baah   +3 more
core   +1 more source

Distributed Hypothesis Testing with Privacy Constraints

open access: yesEntropy, 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

Quantum hypothesis testing via robust quantum control

open access: yesNew 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

Worst-case Quantum Hypothesis Testing with Separable Measurements [PDF]

open access: yesQuantum, 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

Hypothesis Testing Based Side-Channel Collision Analysis

open access: yesIEEE 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

Testing the Isotropic Cauchy Hypothesis

open access: yesEntropy
The isotropic Cauchy distribution is a member of the central α-stable family that plays a role in the set of heavy-tailed distributions similar to that of the Gaussian density among finite second-moment laws.
Jihad Fahs   +2 more
doaj   +1 more source

Hypothesis testing in Bayesian network meta-analysis

open access: yesBMC 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

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