Relevant bibliographies by topics / Semi-random models

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  1. Journal articles

Academic literature on the topic 'Semi-random models'

Author: Grafiati
Published: 6 September 2023

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Journal articles on the topic "Semi-random models"

1

Dikta, Gerhard. "Asymptotically efficient estimation under semi-parametric random censorship models." Journal of Multivariate Analysis 124 (February 2014): 10–24. http://dx.doi.org/10.1016/j.jmva.2013.10.002.

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2

Xia, Lirong. "Semi-random Impossibilities of Condorcet Criterion." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 5 (2023): 5867–75. http://dx.doi.org/10.1609/aaai.v37i5.25727.

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Abstract:
The Condorcet criterion (CC) is a classical and well-accepted criterion for voting. Unfortunately, it is incompatible with many other desiderata including participation (PAR), half-way monotonicity (HM), Maskin monotonicity (MM), and strategy-proofness (SP). Such incompatibilities are often known as impossibility theorems, and are proved by worst-case analysis. Previous work has investigated the likelihood for these impossibilities to occur under certain models, which are often criticized of being unrealistic. We strengthen previous work by proving the first set of semi-random impossibilities
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3

Ohlssen, D. I., L. D. Sharples, and D. J. Spiegelhalter. "Flexible random-effects models using Bayesian semi-parametric models: applications to institutional comparisons." Statistics in Medicine 26, no. 9 (2007): 2088–112. http://dx.doi.org/10.1002/sim.2666.

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4

Caraballo, Tomás, Renato Colucci, and Xiaoying Han. "Semi-Kolmogorov models for predation with indirect effects in random environments." Discrete and Continuous Dynamical Systems - Series B 21, no. 7 (2016): 2129–43. http://dx.doi.org/10.3934/dcdsb.2016040.

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5

Abd El-Monsef, Mohamed, Elhoussainy Rady, and Ayat Sobhy. "WEIBULL SEMIPARAMETRIC REGRESSION MODELS UNDER RANDOM CENSORSHIP." JOURNAL OF ADVANCES IN MATHEMATICS 11, no. 8 (2015): 5577–82. http://dx.doi.org/10.24297/jam.v11i8.1209.

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Semiparametric regression is concerned with the flexible combination of non-linear functional relationships in regression analysis. The main advantage of the semiparametric regression models is that any application benefits from regression analysis can also benefit from the semiparametric regression. In this paper, we derived a consistent estimator of parametric portion and nonparametric portion in Weibull semi-parametric regression models under random censorship.
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6

Rushton, Philip A., Farid Taheri, and David C. Stredulinsky. "Fatigue Response and Characterization of 350WT Steel Under Semi-Random Loading." Journal of Pressure Vessel Technology 129, no. 3 (2006): 525–34. http://dx.doi.org/10.1115/1.2748835.

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Novel data obtained through experimental investigation into the fatigue response of 350WT steel, subjected to semi-random loading, comprised of various combinations of intermittent tensile overloads and compressive underloads are presented. An effective model for predicting the fatigue response is also introduced. For that, the capabilities of some of the currently available models are investigated and then an exponential delay model, being capable of accounting for the effects of not only overload ratio, but also stress ratio and overload/underload ratio is introduced. Since most variable amp
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7

Soullard, Yann, Martin Saveski, and Thierry Artières. "Joint semi-supervised learning of Hidden Conditional Random Fields and Hidden Markov Models." Pattern Recognition Letters 37 (February 2014): 161–71. http://dx.doi.org/10.1016/j.patrec.2013.03.028.

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8

Zhang, Yuanqing, and Dianmei Shen. "Estimation of semi-parametric varying-coefficient spatial panel data models with random-effects." Journal of Statistical Planning and Inference 159 (April 2015): 64–80. http://dx.doi.org/10.1016/j.jspi.2014.11.001.

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9

Loeys, Tom, Catherine Legrand, Antonio Schettino, and Gilles Pourtois. "Semi-parametric proportional hazards models with crossed random effects for psychometric response times." British Journal of Mathematical and Statistical Psychology 67, no. 2 (2013): 304–27. http://dx.doi.org/10.1111/bmsp.12020.

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10

Kazemi, Iraj, and Reyhaneh Rikhtehgaran. "Topics on Dynamic Panel Data Models with Random Effects Using Semi-Parametric Bayesian Approach." Communications in Statistics - Theory and Methods 43, no. 8 (2014): 1630–48. http://dx.doi.org/10.1080/03610926.2012.673672.

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