Bibliografías temáticas / Distributed hypothesis testing

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Literatura académica sobre el tema "Distributed hypothesis testing"

Autor: Grafiati
Publicado: 1 de junio de 2024
Última modificación: 31 de julio de 2025

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Artículos de revistas sobre el tema "Distributed hypothesis testing"

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Sreekumar, Sreejith, Asaf Cohen, and Deniz Gündüz. "Privacy-Aware Distributed Hypothesis Testing." Entropy 22, no. 6 (2020): 665. http://dx.doi.org/10.3390/e22060665.

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A distributed binary hypothesis testing (HT) problem involving two parties, a remote observer and a detector, is studied. The remote observer has access to a discrete memoryless source, and communicates its observations to the detector via a rate-limited noiseless channel. The detector observes another discrete memoryless source, and performs a binary hypothesis test on the joint distribution of its own observations with those of the observer. While the goal of the observer is to maximize the type II error exponent of the test for a given type I error probability constraint, it also wants to k
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Salehkalaibar, Sadaf, and Michèle Wigger. "Distributed Hypothesis Testing over Noisy Broadcast Channels." Information 12, no. 7 (2021): 268. http://dx.doi.org/10.3390/info12070268.

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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 centers. In our proposed scheme, we can partially mitigate this tradeoff when the transmitter has a probability larger than 1/2 to distinguish the alternate hypotheses at the decision centers, i.e., the hypotheses under which the decision centers wish to maximize their error exponents. In the cases where these hypotheses cannot be distinguished
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Chair, Z., and P. K. Varshney. "Distributed Bayesian hypothesis testing with distributed data fusion." IEEE Transactions on Systems, Man, and Cybernetics 18, no. 5 (1988): 695–99. http://dx.doi.org/10.1109/21.21597.

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Gilani, Atefeh, Selma Belhadj Amor, Sadaf Salehkalaibar, and Vincent Y. F. Tan. "Distributed Hypothesis Testing with Privacy Constraints." Entropy 21, no. 5 (2019): 478. http://dx.doi.org/10.3390/e21050478.

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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. We impose an upper bound on the mutual information between the raw and randomized data. Under this scenario, the receiver, which is also provided with side information, is required to make a decision on whether the null or alternative hypothesis is in effect. We first provide a general lower bound on the type-II exponent for an arbitrary pair of hy
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Pados, D., K. W. Halford, D. Kazakos, and P. Papantoni-Kazakos. "Distributed binary hypothesis testing with feedback." IEEE Transactions on Systems, Man, and Cybernetics 25, no. 1 (1995): 21–42. http://dx.doi.org/10.1109/21.362967.

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Lalitha, Anusha, Tara Javidi, and Anand D. Sarwate. "Social Learning and Distributed Hypothesis Testing." IEEE Transactions on Information Theory 64, no. 9 (2018): 6161–79. http://dx.doi.org/10.1109/tit.2018.2837050.

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Li, Zishuo, Yilin Mo, and Fei Hao. "Distributed Sequential Hypothesis Testing With Byzantine Sensors." IEEE Transactions on Signal Processing 69 (2021): 3044–58. http://dx.doi.org/10.1109/tsp.2021.3075147.

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Sreekumar, Sreejith, and Deniz Gunduz. "Distributed Hypothesis Testing Over Discrete Memoryless Channels." IEEE Transactions on Information Theory 66, no. 4 (2020): 2044–66. http://dx.doi.org/10.1109/tit.2019.2953750.

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Escamilla, Pierre, Michele Wigger, and Abdellatif Zaidi. "Distributed Hypothesis Testing: Cooperation and Concurrent Detection." IEEE Transactions on Information Theory 66, no. 12 (2020): 7550–64. http://dx.doi.org/10.1109/tit.2020.3019654.

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Li, Shang, and Xiaodong Wang. "Distributed Sequential Hypothesis Testing With Quantized Message-Exchange." IEEE Transactions on Information Theory 66, no. 1 (2020): 350–67. http://dx.doi.org/10.1109/tit.2019.2947494.

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Tesis sobre el tema "Distributed hypothesis testing"

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Hamad, Mustapha. "Sharing resources for enhanced distributed hypothesis testing." Electronic Thesis or Diss., Institut polytechnique de Paris, 2022. http://www.theses.fr/2022IPPAT029.

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Les tests d'hypothèses distribués ont de nombreuses applications dans la sécurité, la surveillance de la santé, le contrôle automobile ou la détection d'anomalies. À l'aide de capteurs distribués, les centres de décision de ces systèmes visent à distinguer une situation normale (hypothèse nulle) d'une situation d'alerte (hypothèse alternative). Nous nous concentrons sur la maximisation de la décroissance exponentielle des probabilités d'erreur de type-II (correspondant aux détections manquées), avec un nombre croissant d'observations, tout en maintenant les probabilités d'erreur de type-I (cor
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Wissinger, John W. (John Weakley). "Distributed nonparametric training algorithms for hypothesis testing networks." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/12006.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.<br>Includes bibliographical references (p. 495-502).<br>by John W. Wissinger.<br>Ph.D.
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Escamilla, Pierre. "On cooperative and concurrent detection in distributed hypothesis testing." Electronic Thesis or Diss., Institut polytechnique de Paris, 2019. http://www.theses.fr/2019IPPAT007.

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L’inférence statistique prend une place prépondérante dans le développement des nouvelles technologies et inspire un grand nombre d’algorithmes dédiés à des tâches de détection, d’identification et d’estimation. Cependant il n’existe pas de garantie théorique pour les performances de ces algorithmes. Dans cette thèse, nous considérons un réseau simplifié de capteurs communicant sous contraintes pour tenter de comprendre comment des détecteurs peuvent se partager au mieux les informations à leur disposition pour détecter un même événement ou des événements distincts. Nous investiguons différent
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Salihou, Adamou Ismaila. "Error exponent bounds and practical short-length coding schemes for Distributed Hypothesis Testing (DHT)." Electronic Thesis or Diss., Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2024. http://www.theses.fr/2024IMTA0446.

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Dans les réseaux de communication distribués, les données sont collectées, compressées, et transmises depuis des nœuds distants vers un serveur central pour un traitement ultérieur. Cependant, l’objectif du serveur n’est pas toujours de reconstruire les données originales, mais plutôt de prendre des décisions à partir des données codées reçues. Dans ce contexte, le Test d’Hypothèses Distribué se concentre sur le cas particulier de deux sources et vise à effectuer une prise de décision directement à partir des données compressées, sans passer par une reconstruction préalable. Comme dans le test
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Atta-Asiamah, Ernest. "Distributed Inference for Degenerate U-Statistics with Application to One and Two Sample Test." Diss., North Dakota State University, 2020. https://hdl.handle.net/10365/31777.

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In many hypothesis testing problems such as one-sample and two-sample test problems, the test statistics are degenerate U-statistics. One of the challenges in practice is the computation of U-statistics for a large sample size. Besides, for degenerate U-statistics, the limiting distribution is a mixture of weighted chi-squares, involving the eigenvalues of the kernel of the U-statistics. As a result, it’s not straightforward to construct the rejection region based on this asymptotic distribution. In this research, we aim to reduce the computation complexity of degenerate U-statistics and propo
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Kang, Shin-jae. "Korea's export performance : three empirical essays." Diss., Manhattan, Kan. : Kansas State University, 2008. http://hdl.handle.net/2097/767.

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Katz, Gil. "Détection binaire distribuée sous contraintes de communication." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLC001/document.

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Ces dernières années, l'intérêt scientifique porté aux différents aspects des systèmes autonomes est en pleine croissance. Des voitures autonomes jusqu'à l'Internet des objets, il est clair que la capacité de systèmes à prendre des décision de manière autonome devient cruciale. De plus, ces systèmes opéreront avec des ressources limitées. Dans cette thèse, ces systèmes sont étudiés sous l'aspect de la théorie de l'information, dans l'espoir qu'une compréhension fondamentale de leurs limites et de leurs utilisations pourrait aider leur conception par les futures ingénieurs.Dans ce travail, dive
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"A distributed hypothesis-testing team decision problem with communications cost." Laboratory for Information and Decision Systems, Massachusetts Institute of Technology], 1986. http://hdl.handle.net/1721.1/2919.

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"On optimal distributed decision architectures in a hypothesis testing environment." Massachusetts Institute of Technology, Laboratory for Information and Decision Systems], 1990. http://hdl.handle.net/1721.1/3167.

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Jason D. Papastavrou and Michael Athans.<br>Cover title.<br>Includes bibliographical references (p. 35-37).<br>Research supported by the National Science Foundation. NSF/IRI-8902755 Research supported by the Office of Naval Research. ONR/N00014-84-K-0519
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Jithin, K. S. "Spectrum Sensing in Cognitive Radios using Distributed Sequential Detection." Thesis, 2013. http://etd.iisc.ac.in/handle/2005/3278.

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Cognitive Radios are emerging communication systems which efficiently utilize the unused licensed radio spectrum called spectral holes. They run Spectrum sensing algorithms to identify these spectral holes. These holes need to be identified at very low SNR (<=-20 dB) under multipath fading, unknown channel gains and noise power. Cooperative spectrum sensing which exploits spatial diversity has been found to be particularly effective in this rather daunting endeavor. However despite many recent studies, several open issues need to be addressed for such algorithms. In this thesis we provide some
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Libros sobre el tema "Distributed hypothesis testing"

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Gül, Gökhan. Robust and Distributed Hypothesis Testing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-49286-5.

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Lemeshko, Boris, and Irina Veretel'nikova. Criteria for testing hypotheses about randomness and the absence of a trend. Application Guide. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1587437.

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The monograph discusses the application of statistical criteria aimed at testing hypotheses about the absence of a trend in the analyzed samples. The rejection of such a hypothesis gives grounds to consider the analyzed data as samples of independent equally distributed random variables. We consider a set of special criteria aimed at testing such hypotheses, as well as a set of criteria for the uniformity of laws, the uniformity of averages and the uniformity of variances, which can also be used for these purposes. The disadvantages and advantages of various criteria are emphasized, the applic
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Gül, Gökhan. Robust and Distributed Hypothesis Testing. Springer International Publishing AG, 2017.

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Gül, Gökhan. Robust and Distributed Hypothesis Testing. Springer, 2018.

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Capítulos de libros sobre el tema "Distributed hypothesis testing"

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Ahlswede, Rudolf. "Hypothesis Testing Under Communication Constraints." In Probabilistic Methods and Distributed Information. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00312-8_22.

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Varshney, Pramod K. "Information Theory and Distributed Hypothesis Testing." In Distributed Detection and Data Fusion. Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1904-0_7.

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PS, Chandrashekhara Thejaswi, and Ranjeet Kumar Patro. "Distributed Multiple Hypothesis Testing in Sensor Networks Under Bandwidth Constraint." In Distributed Computing and Internet Technology. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11604655_22.

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Singh, Inderjeet, Anand Srinivasan, and Archana Mishra. "Inferential Statistics for Hypothesis Testing of Parametrically Distributed Data." In R for Basic Biostatistics in Medical Research. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-6980-3_7.

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Papastavrou, Jason, and Michael Athans. "A Distributed Hypothesis-Testing Team Decision Problem with Communications Cost." In System Fault Diagnostics, Reliability and Related Knowledge-Based Approaches. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3929-5_3.

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Shan, Qihao, and Sanaz Mostaghim. "Collective Decision Making in Swarm Robotics with Distributed Bayesian Hypothesis Testing." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60376-2_5.

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Carpenter, Gail A., and Stephen Grossberg. "Self-Organizing Cortical Networks for Distributed Hypothesis Testing and Recognition Learning." In Theory and Applications of Neural Networks. Springer London, 1992. http://dx.doi.org/10.1007/978-1-4471-1833-6_1.

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Lavigna, Anthony, Armand M. Makowski, and John S. Baras. "A Continuous—Time Distributed Version of Wald’s Sequential Hypothesis Testing Problem." In Analysis and Optimization of Systems. Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/bfb0007587.

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Wefelmeyer, Wolfgang. "Testing hypotheses on independent, not identically distributed models." In Mathematical Statistics and Probability Theory. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3963-9_20.

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Hibbert, D. Brynn, and J. Justin Gooding. "Hypothesis Testing." In Data Analysis for Chemistry. Oxford University Press, 2005. http://dx.doi.org/10.1093/oso/9780195162103.003.0008.

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• To understand the concept of the null hypothesis and the role of Type I and Type II errors. • To test that data are normally distributed and whether a datum is an outlier. • To determine whether there is systematic error in the mean of measurement results. • To perform tests to compare the means of two sets of data.… One of the uses to which data analysis is put is to answer questions about the data, or about the system that the data describes. In the former category are ‘‘is the data normally distributed?’’ and ‘‘are there any outliers in the data?’’ (see the discussions in chapter 1). Ques
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Actas de conferencias sobre el tema "Distributed hypothesis testing"

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Kochman, Yuval. "An Improved Upper Bound for Distributed Hypothesis Testing." In 2024 IEEE International Symposium on Information Theory (ISIT). IEEE, 2024. http://dx.doi.org/10.1109/isit57864.2024.10619234.

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Dupraz, Elsa, Ismaila Salihou Adamou, Reza Asvadi, and Tad Matsumoto. "Practical Short-Length Coding Schemes for Binary Distributed Hypothesis Testing." In 2024 IEEE International Symposium on Information Theory (ISIT). IEEE, 2024. http://dx.doi.org/10.1109/isit57864.2024.10619545.

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Khaledian, Fatemeh, Reza Asvadi, Elsa Dupraz, and Tad Matsumoto. "Covering Codes as Near-Optimal Quantizers for Distributed Hypothesis Testing Against Independence." In 2024 IEEE Information Theory Workshop (ITW). IEEE, 2024. https://doi.org/10.1109/itw61385.2024.10806995.

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Barreto, Rodrigo, Annelise Zeemann, Robert Badrak, and Guilherme Emygdio. "Are Drill Pipe Conventional Coatings Suitable for Subsea Early Production Risers?" In CORROSION 2017. NACE International, 2017. https://doi.org/10.5006/c2017-09623.

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Abstract Drill pipe (DP) materials and corrosion protection methods have been designed for use in drilling operations characterized by specific stress levels, temperatures (high), and fluids (mud). Changing the functionality of DP from drilling operation to completion operation with early production in a subsea environment requires a good critical analysis because the typical internal coating designed for the abrasive and erosive actions of mud may not be suitable for exposure to potentially corrosive production fluids. Moreover, long-term operation with external cathodic protection may requir
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Katz, Gil, Pablo Piantanida, and Merouane Debbah. "Collaborative distributed hypothesis testing with general hypotheses." In 2016 IEEE International Symposium on Information Theory (ISIT). IEEE, 2016. http://dx.doi.org/10.1109/isit.2016.7541590.

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Mhanna, Maggie, and Pablo Piantanida. "On secure distributed hypothesis testing." In 2015 IEEE International Symposium on Information Theory (ISIT). IEEE, 2015. http://dx.doi.org/10.1109/isit.2015.7282727.

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Sreekumar, Sreejith, Deniz Gunduz, and Asaf Cohen. "Distributed Hypothesis Testing Under Privacy Constraints." In 2018 IEEE Information Theory Workshop (ITW). IEEE, 2018. http://dx.doi.org/10.1109/itw.2018.8613433.

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Lalitha, Anusha, Anand Sarwate, and Tara Javidi. "Social learning and distributed hypothesis testing." In 2014 IEEE International Symposium on Information Theory (ISIT). IEEE, 2014. http://dx.doi.org/10.1109/isit.2014.6874893.

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Sreekumar, Sreejith, and Deniz Gunduz. "Distributed hypothesis testing over noisy channels." In 2017 IEEE International Symposium on Information Theory (ISIT). IEEE, 2017. http://dx.doi.org/10.1109/isit.2017.8006675.

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Escamilla, Pierre, Michele Wigger, and Abdellatif Zaidi. "Distributed Hypothesis Testing with Concurrent Detections." In 2018 IEEE International Symposium on Information Theory (ISIT). IEEE, 2018. http://dx.doi.org/10.1109/isit.2018.8437906.

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Informes sobre el tema "Distributed hypothesis testing"

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Chair, Zelneddine, and Pramod K. Varshney. On Hypothesis Testing in Distributed Sensor Networks. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada195910.

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LaVigna, Anthony, Armand M. Makowski, and John S. Baras. A Continuous-Time Distributed Version of Wald's Sequential Hypothesis Testing Problem. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada453211.

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Nuzman, Dwayne W. An Accumulate-Toward-the-Mode Approach to Confidence Intervals and Hypothesis Testing With Applications to Binomially Distributed Data. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada514638.

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