Stochastic Models, Statistics and Their Applications Dresden, Germany, March 2019 /
This volume presents selected and peer-reviewed contributions from the 14th Workshop on Stochastic Models, Statistics and Their Applications, held in Dresden, Germany, on March 6-8, 2019. Addressing the needs of theoretical and applied researchers alike, the contributions provide an overview of the...
| Συγγραφή απο Οργανισμό/Αρχή: | |
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| Άλλοι συγγραφείς: | , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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| Έκδοση: | 1st ed. 2019. |
| Σειρά: | Springer Proceedings in Mathematics & Statistics,
294 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- PART 1: Plenary Lectures: W. Stute, Stairway to hell
- I. Gijbels, R. Karim, A. Verhasselt, Quantile estimation in a generalized asymmetric distributional setting
- M. Ljungdahl, M. Podolskij, A note on parametric estimation of Levy moving average processes
- PART 2: Theory and Related Topics: K. Knight, A continuous-time iteratively reweighted least squares algorithm for $L_\infty$ estimation
- M. Bibinger, M. Trabs, On central limit theorems for power variations of the solution to the stochastic heat equation
- P. Gapeev, Perpetual dual American barrier options for short sellers
- P. Lachout, A criterion for weak convergence in vector Skorokhod spaces
- E. Liebscher, On combining star-shaped distributions and copulas
- E. Skubalska-Rafajlowicz, Stability of the Random-Projection Based Classifiers. The Bayes error perspective
- A. Ishii, K. Yata, M. Aoshima, A quadratic classifier for high-dimension, low-sample-size data under the strongly spiked eigenvalue model
- Z. Hlávka, M. Huskova, Doubly paired change-point analysis
- B. Darkhovsky, A. Piryatinska, Detection of changes in binary sequences
- Q. Liu, R. Zhang, Y. Xie, Distributed Change Detection via Average Consensus over Networks
- A. Steland, E. Rafajłowicz, The Hotelling-like T^2 control chart modified for detecting changes in images having the matrix normal distribution
- S. Vogel, Universal Confidence Sets for Solutions of Stochastic Optimization Problems - A Contribution to Quantification of Uncertainty
- Y. Liu, J. Wishart
- Local polynomial $M$-estimation in random design regression with dependent errors
- Ł. Smaga, Projection-based repeated measures analysis for functional data
- C. Weiß, On the Sample Coefficient of Nominal Variation
- B. Aleksandrov, A Negative-Binomial Index Considering Dispersion and Zero Probability
- PART 3: Stochastic Models, Methods and Simulations: J. P. Burgard, J. Krause, H. Merkle, R. Münnich, S. Schmaus, Conducting a Dynamic Microsimulation for Care Research: Data Generation, Transition Probabilities and Sensitivity Analysis
- M. E. Silva, I. Silva, C. Torres, Modelling overdispersion with integer-valued moving average processes
- E. Gonçalves, N. Mendes-Lopes, Zero-distorted Compound Poisson INGARCH models
- T. A. Möller, An Application of the Max-INAR(1) Model to Counts of Cinema Visitors
- J. Bracher, A new INARMA(1, 1) model with Poisson marginal
- S. Büscher, M. Batram, D. Bauer, Using motifs for population synthesis in multi-agent mobility simulation models
- U. Falkenhagen, W. Kössler, Hans-J. Lenz, A likelihood ratio test for inlier detection
- PART 4: Applications and Algorithms: A. Tordeux, M. Chraibi, A. Seyfried, A. Schadschneider, Artificial neural networks predicting pedestrian dynamics in complex buildings
- A. Gramacki, M. Kowal, M. Mazurkiewicz, J. Gramacki, A. Plawiak-Mowna, Automatic breast cancer diagnostics based on statistical analysis of shape and texture features of individual cell nuclei
- P. Sliwinski, P. Wachel, A. Galeziowski, Stochastic framework for contrast-detection autofocusing
- S. Krömer, W. Stummer, A new toolkit for mortality data analytics
- T. Górecki, P. Piasecki, A comprehensive comparison of distance measures for time series classification
- A. Homburg, Criteria to Validate Count Data Model Selection
- M. Romaniuk, On Some Applications of Simulations in Estimation of Maintenance Costs and in Statistical Tests for Fuzzy Settings.
