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Publication search results
found 130 matches
- 2024
- Wangshu Tu, Ryan Browne, Sanjeena Subedi:
A mixture of logistic skew-normal multinomial models. Comput. Stat. Data Anal. 196: 107946 (2024) - Manas Ranjan Biswal, Tahesin Samira Delwar, Abrar Siddique, Prangyadarsini Behera, Jee-Youl Ryu:
Analysis and investigation of a novel underwater channel model for OWC under log-normal turbulent condition. Photonic Netw. Commun. 47(1): 1-8 (2024) - Joaquín Martínez-Minaya, Haavard Rue:
A flexible Bayesian tool for CoDa mixed models: logistic-normal distribution with Dirichlet covariance. Stat. Comput. 34(3): 116 (2024) - 2023
- Ghoshana Bista:
Total Cost Modeling Of Software Ownership in Virtual Network Functions. (Modélisation du coût total de la propriété du logiciel dans Virtual Network Functions). École normale supérieure de Lyon, France, 2023 - Nicolas Levy:
Conception de nanostructures ADN par des méthodes géométriques : Modèles, logiciel et expériences. (Geometry-driven design of DNA nanostructures : Models, software and experiments). École normale supérieure de Lyon, France, 2023 - Mohamed Sief, Xinsheng Liu, Mona Hosny, A. M. Abd El-Raheem:
Constant-Stress Modeling of Log-Normal Data under Progressive Type-I Interval Censoring: Maximum Likelihood and Bayesian Estimation Approaches. Axioms 12(7): 710 (2023) - Steffen Böhmer, Hannes Frey:
Percolation and Range Bounds in Log-Normal Shadowing Modeled Networks. ICC 2023: 1438-1443 - Yu Peng, Yiheng Wang:
On the Finite Model Property of Non-normal Modal Logics. LORI 2023: 207-221 - 2022
- Justin D. Silverman, Kimberly Roche, Zachary C. Holmes, Lawrence A. David, Sayan Mukherjee:
Bayesian Multinomial Logistic Normal Models through Marginally Latent Matrix-T Processes. J. Mach. Learn. Res. 23: 7:1-7:42 (2022) - Yoshihito Tanaka:
An extension of Jónsson-Tarski representation and model existence in predicate non-normal modal logics. Math. Log. Q. 68(2): 189-201 (2022) - Wei Cui, Zaizai Yan, Xiuyun Peng, Gai-mei Zhang:
Reliability analysis of log-normal distribution with nonconstant parameters under constant-stress model. Int. J. Syst. Assur. Eng. Manag. 13(2): 818-831 (2022) - Seungchan Ko, Guanglian Li, Yi Yu:
Quasi-Monte Carlo finite element approximation of the Navier-Stokes equations with initial data modeled by log-normal random fields. CoRR abs/2210.15572 (2022) - 2021
- Vincent Prost, Stéphane Gazut, Thomas Brüls:
A zero inflated log-normal model for inference of sparse microbial association networks. PLoS Comput. Biol. 17(6) (2021) - Mohammed Alasmar, Richard G. Clegg, Nickolay Zakhleniuk, George Parisis:
Internet Traffic Volumes are Not Gaussian - They are Log-Normal: An 18-Year Longitudinal Study With Implications for Modelling and Prediction. IEEE/ACM Trans. Netw. 29(3): 1266-1279 (2021) - 2020
- Stefano Polizzi:
Emergence of log-normal distributions in avalanche processes, validation of 1D stochastic and random network models, with an application to the characterization of cancer cells plasticity. (Émergence de distributions log-normales dans des processus d'avalanche, validation de modèles stochastiques 1D et sur réseaux aléatoires, avec une application à la caractérisation de la plasticité des cellules cancéreuses). University of Bordeaux, France, 2020 - Refah Mohammed Alotaibi, Chris Guure:
Bayesian and Frequentist Analytical Approaches Using Log-Normal and Gamma Frailty Parametric Models for Breast Cancer Mortality. Comput. Math. Methods Medicine 2020: 9076567:1-9076567:11 (2020) - Thirunanthini Manoharan, Jayanthi Arasan, Habshah Bt. Midi, Mohd Bakri Adam:
Influential measures on log-normal model for left-truncated and case-k interval censored data with time-dependent covariate. Commun. Stat. Simul. Comput. 49(6): 1445-1466 (2020) - Stefano Polizzi, Alain Arneodo, Francisco J. Pérez-Reche, Françoise Argoul:
Emergence of Log-Normal Type Distributions in Avalanche Processes in Living Systems: A Network Model. Frontiers Appl. Math. Stat. 6: 613962 (2020) - Paul Downen, Philip Johnson-Freyd, Zena M. Ariola:
Abstracting models of strong normalization for classical calculi. J. Log. Algebraic Methods Program. 111: 100512 (2020) - José Vallet García:
Characterization of the Log-Normal Model for Received Signal Strength Measurements in Real Wireless Sensor Networks. J. Sens. Actuator Networks 9(1): 12 (2020) - Mohammed Alasmar, Richard G. Clegg, Nickolay Zakhleniuk, George Parisis:
Internet Traffic Volumes Are Not Gaussian - They Are Log-Normal: An 18-Year Longitudinal Study With Implications for Modelling and Prediction. CoRR abs/2007.10150 (2020) - 2019
- Fábio Prataviera, Gauss M. Cordeiro, Edwin M. M. Ortega, Adriano K. Suzuki:
The Odd Log-Logistic Geometric Normal Regression Model with Applications. Adv. Data Sci. Adapt. Anal. 11(1-2): 1950003:1-1950003:25 (2019) - Jiaqi Chen, Qingwei Wang, Jian Wang, Ning Li:
Change Detection of Water Index in Danjiangkou Reservoir Using Mixed Log-Normal Distribution Based Active Contour Model. IEEE Access 7: 95430-95442 (2019) - Anjali Silva, Steven J. Rothstein, Paul D. McNicholas, Sanjeena Subedi:
A multivariate Poisson-log normal mixture model for clustering transcriptome sequencing data. BMC Bioinform. 20(1): 394:1-394:11 (2019) - Pappu Kumar Verma, Rahul Kumar:
Modelling and performance analysis of energy detector-based spectrum sensing with maximum ratio combining over Nakagami-m/log-normal fading channels. Int. J. Commun. Networks Distributed Syst. 23(3): 290-306 (2019) - Pappu Kumar Verma, Sanjay Kumar Soni, Priyanka Jain:
Modelling and performance evaluation over Nakagami-m/log-normal fading environments. Int. J. Commun. Networks Distributed Syst. 23(4): 452-472 (2019) - Sebastian Enqvist, Yde Venema:
Disjunctive bases: normal forms and model theory for modal logics. Log. Methods Comput. Sci. 15(1) (2019) - Koya Sato, Kei Inage, Takeo Fujii:
Modeling the Kriging-Aided Spatial Spectrum Sharing Over Log-Normal Channels. IEEE Wirel. Commun. Lett. 8(3): 749-752 (2019) - Noah Arthurs, Ben Stenhaug, Sergey Karayev, Chris Piech:
Grades are not Normal: Improving Exam Score Models Using the Logit-Normal Distribution. EDM 2019 - Peng Cao, Jiangping Wu, Zhiyuan Liu, Jingjing Guo, Jun Yang, Longxing Shi:
A Statistical Current and Delay Model Based on Log-Skew-Normal Distribution for Low Voltage Region. ACM Great Lakes Symposium on VLSI 2019: 323-326
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