Relevant bibliographies by topics / Distributional

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Distributional'

Author: Grafiati
Published: 9 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Distributional"

1

Fu, Heman, Jincheng Xiong, and Huoyun Wang. "The Hierarchy of Distributional Chaos." International Journal of Bifurcation and Chaos 25, no. 01 (2015): 1550001. http://dx.doi.org/10.1142/s0218127415500017.

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For each λ ∈ [0, 1], λ-power distributional chaos has been defined via Furstenberg families to strengthen distributional chaos. For the sake of distinguishing them, we present a class of dynamical systems, called wedge-shape systems. Through a thorough analysis of dynamical behaviors of all point-pairs, we show that wedge-shape systems can be λ-power distributionally chaotic and admit no λ′-power distributionally scrambled pairs for any λ′ ∈ [0, λ). Then we unfold a picture of distributional chaos with rich hierarchical structures, which helps to improve our comprehension of the diversity of c
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Wang, Lidong, Xiang Wang, Fengchun Lei, and Heng Liu. "Asymptotic average shadowing property, almost specification property and distributional chaos." Modern Physics Letters B 30, no. 03 (2016): 1650001. http://dx.doi.org/10.1142/s0217984916500019.

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It is proved that a nontrivial compact dynamical system with asymptotic average shadowing property (AASP) displays uniformly distributional chaos or distributional chaos in a sequence. Moreover, distributional chaos in a system with AASP can be uniform and dense in the measure center, that is, there is an uncountable uniformly distributionally scrambled set consisting of such points that the orbit closure of every point contains the measure center. As a corollary, the similar results hold for the system with almost specification property.
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Wang, Lidong, Yingcui Zhao, Yuelin Gao, and Heng Liu. "Chaos to Multiple Mappings." International Journal of Bifurcation and Chaos 27, no. 08 (2017): 1750119. http://dx.doi.org/10.1142/s021812741750119x.

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Let [Formula: see text] be a compact metric space and [Formula: see text] be an [Formula: see text]-tuple of continuous selfmaps on [Formula: see text]. This paper investigates Hausdorff metric Li–Yorke chaos, distributional chaos and distributional chaos in a sequence from a set-valued view. On the basis of this research, we draw the main conclusions as follows: (i) If [Formula: see text] has a distributionally chaotic pair, especially [Formula: see text] is distributionally chaotic, the strongly nonwandering set [Formula: see text] contains at least two points. (ii) We give a sufficient cond
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Weeds, Julie, and David Weir. "Co-occurrence Retrieval: A Flexible Framework for Lexical Distributional Similarity." Computational Linguistics 31, no. 4 (2005): 439–75. http://dx.doi.org/10.1162/089120105775299122.

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Techniques that exploit knowledge of distributional similarity between words have been proposed in many areas of Natural Language Processing. For example, in language modeling, the sparse data problem can be alleviated by estimating the probabilities of unseen co-occurrences of events from the probabilities of seen co-occurrences of similar events. In other applications, distributional similarity is taken to be an approximation to semantic similarity. However, due to the wide range of potential applications and the lack of a strict definition of the concept of distributional similarity, many m
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Duchi, John C., Peter W. Glynn, and Hongseok Namkoong. "Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach." Mathematics of Operations Research 46, no. 3 (2021): 946–69. http://dx.doi.org/10.1287/moor.2020.1085.

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We study statistical inference and distributionally robust solution methods for stochastic optimization problems, focusing on confidence intervals for optimal values and solutions that achieve exact coverage asymptotically. We develop a generalized empirical likelihood framework—based on distributional uncertainty sets constructed from nonparametric f-divergence balls—for Hadamard differentiable functionals, and in particular, stochastic optimization problems. As consequences of this theory, we provide a principled method for choosing the size of distributional uncertainty regions to provide o
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Beare, Brendan K. "Distributional Replication." Entropy 23, no. 8 (2021): 1063. http://dx.doi.org/10.3390/e23081063.

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A function which transforms a continuous random variable such that it has a specified distribution is called a replicating function. We suppose that functions may be assigned a price, and study an optimization problem in which the cheapest approximation to a replicating function is sought. Under suitable regularity conditions, including a bound on the entropy of the set of candidate approximations, we show that the optimal approximation comes close to achieving distributional replication, and close to achieving the minimum cost among replicating functions. We discuss the relevance of our resul
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Kroese, A. H., E. A. Meulen, K. Poortema, and W. Schaafsma. "Distributional inference." Statistica Neerlandica 49, no. 1 (1995): 63–82. http://dx.doi.org/10.1111/j.1467-9574.1995.tb01455.x.

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Bonilla, Antonio, and Marko Kostić. "Reiterative Distributional Chaos on Banach Spaces." International Journal of Bifurcation and Chaos 29, no. 14 (2019): 1950201. http://dx.doi.org/10.1142/s0218127419502018.

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If we change the upper and lower densities in the definition of distributional chaos of a continuous linear operator on a Banach space [Formula: see text] by the Banach upper and Banach lower densities, respectively, we obtain Li–Yorke chaos. Motivated by this, we introduce the notions of reiterative distributional chaos of types [Formula: see text], [Formula: see text] and [Formula: see text] for continuous linear operators on Banach spaces, which are characterized in terms of the existence of an irregular vector with additional properties. Moreover, we study its relations with other dynamica
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Sahlgren, Magnus. "Distributional Legacy: The Unreasonable Effectiveness of Harris’s Distributional Program." WORD 70, no. 4 (2024): 246–57. https://doi.org/10.1080/00437956.2024.2414515.

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Kim, Hwa-Ill, Do-Kyung Sung, and Ji-Young Lee. "A Study on the Priority of Innovative Policies of KoreanDistribution Industry at the 4th Industrial Revolution Era." National Association of Korean Local Government Studies 24, no. 4 (2023): 183–209. http://dx.doi.org/10.38134/klgr.2023.24.4.183.

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The purpose of this study is to analyze priorities of the recent Korean distributional policies to contribute establishment of the efficient midꠓand long term distributional policies. For this purpose, the important factors on the distributional policies were selected through the literature review, and conducted questionnaire to the experts on distributional industry using these factors. The factors selected for the first level AHP analysis were Promotion and Support of Distributional Industry, Establishment and Maintenance of Distributional Infra, Development and Proliferation of High frontie
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Dissertations / Theses on the topic "Distributional"

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Vecchi, Eva Maria. "Distributional semantic phrases vs. semantic distributional nonsense: Adjective Modification in Compositional Distributional Semantics." Doctoral thesis, Università degli studi di Trento, 2013. https://hdl.handle.net/11572/369284.

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In this thesis, I study the ability of compositional distributional semantics to model adjective modification. I present three studies that explore the degree to which semantic intuitions are grounded in the distributional representations of adjective-noun phrases, as well as provide insight into various linguistic phenomena by extracting unsupervised cues from these distributional representations. First, I investigate degrees of adjective modification. I contrast three types of adjectival modifiers – intersectively used color terms, subsectively used color terms, and intensional adjectives
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Vecchi, Eva Maria. "Distributional semantic phrases vs. semantic distributional nonsense: Adjective Modification in Compositional Distributional Semantics." Doctoral thesis, University of Trento, 2013. http://eprints-phd.biblio.unitn.it/1060/1/EMVecchi_Thesis.pdf.

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In this thesis, I study the ability of compositional distributional semantics to model adjective modification. I present three studies that explore the degree to which semantic intuitions are grounded in the distributional representations of adjective-noun phrases, as well as provide insight into various linguistic phenomena by extracting unsupervised cues from these distributional representations. First, I investigate degrees of adjective modification. I contrast three types of adjectival modifiers – intersectively used color terms, subsectively used color terms, and intensional adjectives –
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Schluter, Christian. "Topics in distributional analysis : the importance of intermediate institutions for income distributions, inequality and intra-distributional mobility." Thesis, London School of Economics and Political Science (University of London), 1999. http://etheses.lse.ac.uk/1487/.

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The unifying theme of this dissertation is the importance of intermediate institutions for income distributions, inequality and intra-distributional mobility. First, we analyse the effects of informational problems in a general equilibrium model with dynamically evolving wealth distributions. Poor agents need to borrow funds but a non-commitment problem on the capital market leads to persistent inequality. The next important institution to be examined is the tax-benefit system. The third chapter investigates the relative performance of alternative unemployment benefit regimes in a search-theor
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Bruni, Elia. "Multimodal Distributional Semantics." Doctoral thesis, University of Trento, 2013. http://eprints-phd.biblio.unitn.it/1075/1/EliaBruniThesis.pdf.

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Although being one very simple statement, the distributional hypothesis - namely, words that occur in similar contexts are semantically similar - has been granted the role of main assumption in many computational linguistic techniques. This is mostly due to the fact that it allows to easily and automatically construct a representation of word meaning from a large textual input. Among the computational linguistic techniques that are corpus-based and adopt the distributional hypothesis, Distributional semantic models (DSMs) have been shown to be a very effective method in many semantic-related
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King, Robert Arthur Ravenscroft. "New distributional fitting methods applied to the generalised [lambda] distribution." Thesis, Queensland University of Technology, 1999.

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Haili, Hailiza Kamarul. "Distributional problems in arithmetic." Thesis, University of Liverpool, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366245.

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Baker, Kirk. "Multilingual Distributional Lexical Similarity." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1221752517.

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Trenn, Stephan. "Distributional differential algebraic equations." Ilmenau Univ.-Verl, 2009. http://d-nb.info/99693197X/04.

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Bilyk, Dmytro. "Distributional estimates for multilinear operators." Diss., Columbia, Mo. : University of Missouri-Columbia, 2005. http://hdl.handle.net/10355/4139.

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Thesis (Ph. D.)--University of Missouri-Columbia, 2005.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file viewed on (May 23, 2006) Vita. Includes bibliographical references.
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Ratko-Dehnert, Emil. "Distributional constraints on cognitive architecture." Diss., Ludwig-Maximilians-Universität München, 2013. http://nbn-resolving.de/urn:nbn:de:bvb:19-159387.

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Mental chronometry is a classical paradigm in cognitive psychology that uses response time and accuracy data in perceptual-motor tasks to elucidate the architecture and mechanisms of the underlying cognitive processes of human decisions. The redundant signals paradigm investigates the response behavior in Experimental tasks, where an integration of signals is required for a successful performance. The common finding is that responses are speeded for the redundant signals condition compared to single signals conditions. On a mean level, this redundant signals effect can be accounted for by seve
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Books on the topic "Distributional"

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Ebert, James I. Distributional archaeology. University of Utah Press, 2001.

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Banerji, P. K. Distributional integral transforms. Scientific Publishers Journals Dept (India), 2005.

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Brito, Paula, and Sónia Dias. Analysis of Distributional Data. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781315370545.

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Burdekin, Richard C. K., and Paul Burkett. Distributional Conflict and Inflation. Palgrave Macmillan UK, 1996. http://dx.doi.org/10.1057/9780230371736.

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Ormerod, Paul. Unemployment: A distributional phenomenon. European University Institute, 1996.

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Estrada, Ricardo, and Ram P. Kanwal. A Distributional Approach to Asymptotics. Birkhäuser Boston, 2002. http://dx.doi.org/10.1007/978-0-8176-8130-2.

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Estrada, Ricardo. Asymptotic analysis: A distributional approach. Birkhäuser, 1993.

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Glenn, Hubbard R., ed. Distributional implications of consumption tax. AEI Press, 1997.

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P, Kanwal Ram, ed. Asymptotic analysis: A distributional approach. Birkhäuser, 1994.

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1939-, Bradford David F., ed. Distributional analysis of tax policy. AEI Press, 1995.

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Book chapters on the topic "Distributional"

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Heaviside, Oliver. "Distributional BEM." In Fourier BEM. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-540-45626-1_3.

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Sullivan, T. J. "Distributional Uncertainty." In Texts in Applied Mathematics. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23395-6_14.

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Khakshournia, Samad, and Reza Mansouri. "Distributional Approach." In SpringerBriefs in Physics. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-48612-8_4.

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Xiao, Zhiqing. "Distributional RL." In Reinforcement Learning. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-19-4933-3_12.

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Rustad, Gry C. "Distributional Aesthetics." In Social Media Television and Distributional Aesthetics. Routledge, 2025. https://doi.org/10.4324/9781032657844-2.

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Fahrmeir, Ludwig, Thomas Kneib, Stefan Lang, and Brian D. Marx. "Distributional Regression Models." In Regression. Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-662-63882-8_10.

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Arroyo, Javier. "Forecasting Distributional Time Series." In Analysis of Distributional Data. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781315370545-15.

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Burdekin, Richard C. K., and Paul Burkett. "Introduction." In Distributional Conflict and Inflation. Palgrave Macmillan UK, 1996. http://dx.doi.org/10.1057/9780230371736_1.

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Burdekin, Richard C. K., and Paul Burkett. "Conflict Inflation and Currency Depreciation in Latin America." In Distributional Conflict and Inflation. Palgrave Macmillan UK, 1996. http://dx.doi.org/10.1057/9780230371736_10.

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Burdekin, Richard C. K., and Paul Burkett. "Monetary Accommodation, Conflicting Claims, and the European Monetary System." In Distributional Conflict and Inflation. Palgrave Macmillan UK, 1996. http://dx.doi.org/10.1057/9780230371736_11.

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Conference papers on the topic "Distributional"

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Lo, Chun, Wai Lam, Hong Cheng, and Guy Emerson. "Distributional Inclusion Hypothesis and Quantifications: Probing for Hypernymy in Functional Distributional Semantics." In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.acl-long.784.

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Cognetta, Marco, Vilém Zouhar, and Naoaki Okazaki. "Distributional Properties of Subword Regularization." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-main.600.

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Ji, Yangfeng, and Jacob Eisenstein. "Discriminative Improvements to Distributional Sentence Similarity." In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2013. http://dx.doi.org/10.18653/v1/d13-1090.

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Bachrach, Nir, and Inbal Talgam-Cohen. "Distributional Robustness." In EC '22: The 23rd ACM Conference on Economics and Computation. ACM, 2022. http://dx.doi.org/10.1145/3490486.3538273.

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Wu, Guojun, Ge Song, Xiaoxiang Lv, Shikai Luo, Chengchun Shi, and Hongtu Zhu. "DNet: Distributional Network for Distributional Individualized Treatment Effects." In KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. ACM, 2023. http://dx.doi.org/10.1145/3580305.3599809.

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Peng, Bo, Jie Lu, Yonggang Zhang, Guangquan Zhang, and Zhen Fang. "Distributional Prototype Learning for Out-of-distribution Detection." In KDD '25: The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. ACM, 2025. https://doi.org/10.1145/3690624.3709294.

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Lee, Lillian, and Fernando Pereira. "Distributional similarity models." In the 37th annual meeting of the Association for Computational Linguistics. Association for Computational Linguistics, 1999. http://dx.doi.org/10.3115/1034678.1034694.

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Lavelli, Alberto, Fabrizio Sebastiani, and Roberto Zanoli. "Distributional term representations." In the Thirteenth ACM conference. ACM Press, 2004. http://dx.doi.org/10.1145/1031171.1031284.

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Chen, Motong, Zhenyuan Liu, and Henry Lam. "Distributional Input Uncertainty." In 2022 Winter Simulation Conference (WSC). IEEE, 2022. http://dx.doi.org/10.1109/wsc57314.2022.10015344.

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Emerson, Guy, and Ann Copestake. "Functional Distributional Semantics." In Proceedings of the 1st Workshop on Representation Learning for NLP. Association for Computational Linguistics, 2016. http://dx.doi.org/10.18653/v1/w16-1605.

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Reports on the topic "Distributional"

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Waters, Tom. Distributional analysis. The IFS, 2016. http://dx.doi.org/10.1920/ps.ifs.2024.1219.

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Waters, Tom. Distributional analysis. The IFS, 2017. http://dx.doi.org/10.1920/ps.ifs.2024.0032.

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Hood, Andrew, and William Elming. Distributional analysis. The IFS, 2016. http://dx.doi.org/10.1920/ps.ifs.2024.0264.

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Oldfield, Zoe, and Ian Crawford. Distributional aspects of inflation. Institute for Fiscal Studies, 2002. http://dx.doi.org/10.1920/co.ifs.2002.0090.

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Pizer, William, and Steven Sexton. Distributional Impacts of Energy Taxes. National Bureau of Economic Research, 2017. http://dx.doi.org/10.3386/w23318.

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Lee, Julie, Mark McClellan, and Jonathan Skinner. The Distributional Effects of Medicare. National Bureau of Economic Research, 1999. http://dx.doi.org/10.3386/w6910.

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Grossman, Herschel. Distributional Disputes and Civil Conflict. National Bureau of Economic Research, 2003. http://dx.doi.org/10.3386/w9794.

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Fisman, Raymond, Pamela Jakiela, and Shachar Kariv. The Distributional Preferences of Americans. National Bureau of Economic Research, 2014. http://dx.doi.org/10.3386/w20145.

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Hahn, Robert, and Nicholas Muller. Distributional Weights in Economic Analysis. National Bureau of Economic Research, 2023. http://dx.doi.org/10.3386/w31475.

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Hood, Andrew. Benefit changes and distributional analysis. The IFS, 2015. http://dx.doi.org/10.1920/ps.ifs.2024.0661.

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