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  • Search: subject:"Convergence in probability"
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Subject
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Convergence in probability 4 convergence in probability 2 Bootstrap sample mean 1 Common principal components 1 Convergence in distribution 1 Convex functions 1 Economic convergence 1 Extended probability measure 1 Functional limit laws 1 Game theory 1 Mathematical programming 1 Mathematische Optimierung 1 Multiple testing procedures 1 Nash equilibrium 1 Nash-Gleichgewicht 1 Nearest-neighbor density estimator 1 Nonatomic game 1 Nonparametric density estimation 1 Probability theory 1 Spectral decomposition 1 Spieltheorie 1 Sub-gradients 1 Theorie 1 Theory 1 Uniform convergence 1 Uniform empirical quantile process 1 Wahrscheinlichkeitsrechnung 1 Wirtschaftliche Konvergenz 1 [epsilon]-Equilibrium 1 almost certain convergence 1 random elements in normed linear spaces uniformly dominated 1 weak law of large numbers 1 weighted sums random weights convergence in probability complete convergence 1
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Undetermined 6 Free 1
Type of publication
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Article 6 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2
Language
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Undetermined 5 English 2
Author
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Burton, Robert M. 1 Cabrera, M. Ordóñez 1 Einmahl, John 1 Ganjali, Mojtaba 1 Kemp, Gordon C. R. 1 Khazaei, Mojtaba 1 Najarzadeh, Dariush 1 Ouadah, Sarah 1 Rosalsky, A. 1 Yang, Jian 1
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Institution
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Tilburg University, Center for Economic Research 1
Published in...
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Statistics & Probability Letters 2 Discussion Paper / Tilburg University, Center for Economic Research 1 Economics letters 1 International journal of game theory : official journal of the Game Theory Society 1 Journal of Multivariate Analysis 1 METRON 1
Source
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RePEc 5 ECONIS (ZBW) 2
Showing 1 - 7 of 7
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Uniform convergence in extended probability of sub-gradients of convex functions
Kemp, Gordon C. R. - In: Economics letters 188 (2020), pp. 1-4
Persistent link: https://www.econbiz.de/10012227837
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A link between sequential semi-anonymous nonatomic games and their large finite counterparts
Yang, Jian - In: International journal of game theory : official journal … 46 (2017) 2, pp. 383-433
Persistent link: https://www.econbiz.de/10011947259
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Testing for equality of ordered eigenvectors of two multivariate normal populations
Najarzadeh, Dariush; Khazaei, Mojtaba; Ganjali, Mojtaba - In: METRON 73 (2015) 1, pp. 57-72
Scatter plots for two multivariate normal data sets may suggest that the constant-density ellipsoid contours of underlying density functions have the same directions. In other words, covariance matrices of the two populations have the same eigenvectors matrix in their spectral decomposition...
Persistent link: https://www.econbiz.de/10011241514
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Uniform-in-bandwidth nearest-neighbor density estimation
Ouadah, Sarah - In: Statistics & Probability Letters 83 (2013) 8, pp. 1835-1843
in the framework of convergence in probability, and we allow the bandwidth to vary within the complete range for which …
Persistent link: https://www.econbiz.de/10010678719
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General Weak Laws of Large Numbers for Bootstrap Sample Means
Einmahl, John; Rosalsky, A. - Tilburg University, Center for Economic Research - 2004
AMS classifications: 60F05, 62G09; 62G20.
Persistent link: https://www.econbiz.de/10011091191
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Limit theorems for randomly weighted sums of random elements in normed linear spaces
Cabrera, M. Ordóñez - In: Journal of Multivariate Analysis 25 (1988) 1, pp. 139-145
Let {Vn; n = 1} be a sequence of random elements in a separable normed linear space E, uniformly dominated by a random variable V. Let {Ank; K = 1, 2, ..., n; n = 1} be a triangular array of random variables. In this paper, conditions for the convergence of [Sigma]k=1n AnkVk to zero (in...
Persistent link: https://www.econbiz.de/10005152978
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Pointwise properties of convergence in probability
Burton, Robert M. - In: Statistics & Probability Letters 3 (1985) 6, pp. 315-316
If a sequence of random variables Xn converges to X in probability we know little about the pointwise behavior Xn([omega]). In this note we show that if Xn converges to X quickly enough (for example, like n-[alpha] for [alpha] 0) then, for almost all [omega], Xn([omega]) converges to X([omega])...
Persistent link: https://www.econbiz.de/10005074710
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