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Artykuły w czasopismach na temat "Nonasymptotic"
Berry, Kenneth J., i Paul W. Mielke. "Nonasymptotic Probability Values for Cochran's Q Statistic: A Fortran 77 Program". Perceptual and Motor Skills 82, nr 1 (luty 1996): 303–6. http://dx.doi.org/10.2466/pms.1996.82.1.303.
Pełny tekst źródłaMielke, Paul W., i Kenneth J. Berry. "Categorical Independence Tests for Large Sparse R-Way Contingency Tables". Perceptual and Motor Skills 95, nr 2 (październik 2002): 606–10. http://dx.doi.org/10.2466/pms.2002.95.2.606.
Pełny tekst źródłaMielke, Paul W., i Kenneth J. Berry. "Nonasymptotic Inferences Based on Cochran's Q Test". Perceptual and Motor Skills 81, nr 1 (sierpień 1995): 319–22. http://dx.doi.org/10.2466/pms.1995.81.1.319.
Pełny tekst źródłaTembine, Hamidou. "Nonasymptotic Mean-Field Games". IFAC Proceedings Volumes 47, nr 3 (2014): 8989–94. http://dx.doi.org/10.3182/20140824-6-za-1003.01869.
Pełny tekst źródłaTembine, Hamidou. "Nonasymptotic Mean-Field Games". IEEE Transactions on Cybernetics 44, nr 12 (grudzień 2014): 2744–56. http://dx.doi.org/10.1109/tcyb.2014.2315171.
Pełny tekst źródłaIbrahim, Sharif, Kevin Sonnanburg, Thomas J. Asaki i Kevin R. Vixie. "Nonasymptotic Densities for Shape Reconstruction". Abstract and Applied Analysis 2014 (2014): 1–14. http://dx.doi.org/10.1155/2014/341910.
Pełny tekst źródłaKostina, Victoria, i Sergio Verde. "Nonasymptotic Noisy Lossy Source Coding". IEEE Transactions on Information Theory 62, nr 11 (listopad 2016): 6111–23. http://dx.doi.org/10.1109/tit.2016.2562008.
Pełny tekst źródłaYang, Wei, Rafael F. Schaefer i H. Vincent Poor. "Wiretap Channels: Nonasymptotic Fundamental Limits". IEEE Transactions on Information Theory 65, nr 7 (lipiec 2019): 4069–93. http://dx.doi.org/10.1109/tit.2019.2904500.
Pełny tekst źródłaBen-Yashar, Ruth, i Jacob Paroush. "A nonasymptotic Condorcet jury theorem". Social Choice and Welfare 17, nr 2 (9.03.2000): 189–99. http://dx.doi.org/10.1007/s003550050014.
Pełny tekst źródłaTarantino, Angelo Marcello. "Nonasymptotic solution for antiplane cracks". Meccanica 27, nr 4 (1992): 307–10. http://dx.doi.org/10.1007/bf00424371.
Pełny tekst źródłaRozprawy doktorskie na temat "Nonasymptotic"
Girard, Lucas. "Contributions to measures of segregation or polarization and to nonasymptotic inference in linear models". Electronic Thesis or Diss., Institut polytechnique de Paris, 2021. http://www.theses.fr/2021IPPAG007.
Pełny tekst źródłaThis thesis is divided into two independent parts.The first three chapters deal with measures of segregation or polarization. The notion of segregation/polarization applies to various situations, but the formal modeling remains the same. Suppose that a population of individuals, comprised of a minority and a majority group, is allocated into units or makes choices over a set of options. When studying residential, occupational, or school segregation, units can be neighborhoods, firms, classrooms, and the minority group might be immigrants versus natives. The modeling also encompasses speech polarization, for instance. The US congresspeople are divided into Democrats and Republicans; the units or options are the items of a dictionary of words or phrases, and the speakers choose which words they use. Qualitatively, there is some segregation or polarization if the allocation or choice process leads to a situation where the two groups tend to select distinct units/options. In residential segregation, the minority individuals are concentrated in some units more than in others instead of being uniformly allocated. Regarding speech polarization, the presence of polarization means that Democrats and Republicans tend to use different words or phrases when they speak in Congress. Quantitative measures of segregation/polarization struggle with the so-called ``small-unit bias.''The first chapter presents a Stata command that implements three methods to estimate segregation indices robust to ``the small-unit bias.'' The second applies these methods to quantify residential segregation in France between 1968 and 2019 along various dimensions (nationality, social status, labor market position, proxy of races). Finally, the third chapter studies speech polarization in the US Congress between 1873 and 2016 using transcripts of congressional debates.The second part of this thesis is concerned with constructing nonasymptotic confidence intervals (CIs) for the individual coefficients of a linear regression model. Linear regression models are a ubiquitous method of econometric analyses. The CIs rely on explicit upper bounds on the uniform distance between the cumulative distribution function of a standardized sum of independent centered random variables with moments of order four and its first-order Edgeworth expansion. These bounds are derived in the fourth chapter, which is more technical and closer to statistics and probability than the other chapters. The last and fifth chapter uses these results to construct CIs that, at the same time, are (i) valid for any sample size (ii) without assuming parametric assumption such as the normality of error terms or independence between covariates and error terms (hence, our CIs allow for heteroskedasticity), (iii) have a closed-form expression, and (iv) whose length is asymptotically the same as the usual CI based on the t-statistic; thus our CIs have a coverage equals to the desired nominal level in the limit when the sample size goes to infinity
Stefani, Arno Gert [Verfasser], i Johannes [Gutachter] Huber. "Nonparametric and Nonasymptotic Confidence Intervals for Estimation of Mutual Information with Applications in Protein-Protein Docking Analysis / Arno Gert Stefani ; Gutachter: Johannes Huber". Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2018. http://d-nb.info/115500616X/34.
Pełny tekst źródłaBalmand, Samuel. "Quelques contributions à l'estimation de grandes matrices de précision". Thesis, Paris Est, 2016. http://www.theses.fr/2016PESC1024/document.
Pełny tekst źródłaUnder the Gaussian assumption, the relationship between conditional independence and sparsity allows to justify the construction of estimators of the inverse of the covariance matrix -- also called precision matrix -- from regularized approaches. This thesis, originally motivated by the problem of image classification, aims at developing a method to estimate the precision matrix in high dimension, that is when the sample size $n$ is small compared to the dimension $p$ of the model. Our approach relies basically on the connection of the precision matrix to the linear regression model. It consists of estimating the precision matrix in two steps. The off-diagonal elements are first estimated by solving $p$ minimization problems of the type $ell_1$-penalized square-root of least-squares. The diagonal entries are then obtained from the result of the previous step, by residual analysis of likelihood maximization. This various estimators of the diagonal entries are compared in terms of estimation risk. Moreover, we propose a new estimator, designed to consider the possible contamination of data by outliers, thanks to the addition of a $ell_2/ell_1$ mixed norm regularization term. The nonasymptotic analysis of the consistency of our estimator points out the relevance of our method
De, lozzo Matthias. "Modèles de substitution spatio-temporels et multifidélité : Application à l'ingénierie thermique". Thesis, Toulouse, INSA, 2013. http://www.theses.fr/2013ISAT0027/document.
Pełny tekst źródłaThis PhD thesis deals with the construction of surrogate models in transient and steady states in the context of thermal simulation, with a few observations and many outputs.First, we design a robust construction of recurrent multilayer perceptron so as to approach a spatio-temporal dynamic. We use an average of neural networks resulting from a cross-validation procedure, whose associated data splitting allows to adjust the parameters of these models thanks to a test set without any information loss. Moreover, the construction of this perceptron can be distributed according to its outputs. This construction is applied to the modelling of the temporal evolution of the temperature at different points of an aeronautical equipment.Then, we proposed a mixture of Gaussian process models in a multifidelity framework where we have a high-fidelity observation model completed by many observation models with lower and no comparable fidelities. A particular attention is paid to the specifications of trends and adjustement coefficients present in these models. Different kriging and co-krigings models are put together according to a partition or a weighted aggregation based on a robustness measure associated to the most reliable design points. This approach is used in order to model the temperature at different points of the equipment in steady state.Finally, we propose a penalized criterion for the problem of heteroscedastic regression. This tool is build in the case of projection estimators and applied with the Haar wavelet. We also give some numerical results for different noise specifications and possible dependencies in the observations
Kumar, Varun. "Nonasymptotic Analysis of Massive MIMO under Different Wireless Scenarios". Thesis, 2020. http://ethesis.nitrkl.ac.in/10176/1/2020_PhD_vKumar_514EC1005_Nonasymptotic.pdf.
Pełny tekst źródłaKsiążki na temat "Nonasymptotic"
Lugosi, Gabor, Stephane Boucheron i Pascal Massart. Concentration Inequalities: A Nonasymptotic Theory of Independence. Oxford University Press, 2016.
Znajdź pełny tekst źródłaLugosi, Gabor, Stephane Boucheron i Pascal Massart. Concentration Inequalities: A Nonasymptotic Theory of Independence. Oxford University Press, 2013.
Znajdź pełny tekst źródłaMassart, Pascal, Stéphane Boucheron i Gábor Lugosi. Concentration Inequalities: A Nonasymptotic Theory of Independence. Oxford University Press, Incorporated, 2012.
Znajdź pełny tekst źródłaCzęści książek na temat "Nonasymptotic"
Pfanzagl, Johann. "Optimality of Unbiased Estimators: Nonasymptotic Theory". W Springer Series in Statistics, 83–106. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-642-31084-3_4.
Pełny tekst źródłaKorzhik, Valery, i Victor Yakovlev. "Nonasymptotic estimates of information protection efficiency for the wire-tap channel concept". W Advances in Cryptology — AUSCRYPT '92, 183–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-57220-1_61.
Pełny tekst źródłaŁatuszyński, Krzysztof, Błażej Miasojedow i Wojciech Niemiro. "Nonasymptotic Bounds on the Mean Square Error for MCMC Estimates via Renewal Techniques". W Monte Carlo and Quasi-Monte Carlo Methods 2010, 539–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27440-4_31.
Pełny tekst źródłaBlanchard, Gilles, i Jean-Baptiste Fermanian. "Nonasymptotic One- and Two-Sample Tests in High Dimension with Unknown Covariance Structure". W Foundations of Modern Statistics, 121–62. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-30114-8_3.
Pełny tekst źródłaBAGNULS, C., i C. BERVILLIER. "NONASYMPTOTIC CRITICAL BEHAVIOR FROM FIELD THEORY". W Fluctuating Paths and Fields, 401–12. WORLD SCIENTIFIC, 2001. http://dx.doi.org/10.1142/9789812811240_0035.
Pełny tekst źródłaStreszczenia konferencji na temat "Nonasymptotic"
Kostina, Victoria, i Sergio Verdu. "Nonasymptotic noisy lossy source coding". W 2013 IEEE Information Theory Workshop (ITW 2013). IEEE, 2013. http://dx.doi.org/10.1109/itw.2013.6691295.
Pełny tekst źródłaTsukerman, Igor, i Vadim Markel. "A nonasymptotic homogenization theory of electromagnetic metamaterials". W 2014 International Conference on Electromagnetics in Advanced Applications (ICEAA). IEEE, 2014. http://dx.doi.org/10.1109/iceaa.2014.6903848.
Pełny tekst źródłaTsukerman, Igor, i Vadim Markel. "Nonasymptotic and nonlocal homogenization of electromagnetic metamaterials". W 2017 International Conference on Electromagnetics in Advanced Applications (ICEAA). IEEE, 2017. http://dx.doi.org/10.1109/iceaa.2017.8065535.
Pełny tekst źródłaDevassy, Rahul, Giuseppe Durisi, Benjamin Lindqvist, Wei Yang i Marco Dalai. "Nonasymptotic coding-rate bounds for binary erasure channels with feedback". W 2016 IEEE Information Theory Workshop (ITW). IEEE, 2016. http://dx.doi.org/10.1109/itw.2016.7606801.
Pełny tekst źródłaLee, Jaeho, Maxim Raginsky i Pierre Moulin. "On MMSE estimation from quantized observations in the nonasymptotic regime". W 2015 IEEE International Symposium on Information Theory (ISIT). IEEE, 2015. http://dx.doi.org/10.1109/isit.2015.7282992.
Pełny tekst źródłaNedic, Angelia, Alex Olshevsky i Cesar A. Uribe. "Nonasymptotic convergence rates for cooperative learning over time-varying directed graphs". W 2015 American Control Conference (ACC). IEEE, 2015. http://dx.doi.org/10.1109/acc.2015.7172262.
Pełny tekst źródłaOstman, Johan, Rahul Devassy, Giuseppe Durisi i Erik G. Strom. "On the Nonasymptotic Performance of Variable-Length Codes with Noisy Stop Feedback". W 2019 IEEE Information Theory Workshop (ITW). IEEE, 2019. http://dx.doi.org/10.1109/itw44776.2019.8989314.
Pełny tekst źródłaGünlü, Onur, Matthieu Bloch, Rafael F. Schaefer i Aylin Yener. "Nonasymptotic Performance Limits of Low-Latency Secure Integrated Sensing and Communication Systems". W ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2024. http://dx.doi.org/10.1109/icassp48485.2024.10448166.
Pełny tekst źródładu Toit, C. F., i J. H. Cloete. "The computation of antenna electromagnetic fields at nonasymptotic distances from cylindrical near-field measurements". W International Symposium on Antennas and Propagation Society, Merging Technologies for the 90's. IEEE, 1990. http://dx.doi.org/10.1109/aps.1990.115094.
Pełny tekst źródłaShcherbakov, Pavel. "The Trinomial Equation xk+l-axk + bXk-n = 0: Analysis of the Nonasymptotic Behavior of Solutions". W 2019 27th Mediterranean Conference on Control and Automation (MED). IEEE, 2019. http://dx.doi.org/10.1109/med.2019.8798544.
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