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Papers matching “model parameters” 49

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Uncertainty quantification of geological model parameters in 3D gravity inversion by Hessian informed Markov chain Monte Carlo
2021 preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Zhouji Liang, Florian Wellmann

0

citations
Deriving models of change with interpretable parameters: linear estimation with nonlinear inference
2023 preprint Mathematics Statistical Methods and Bayesian Inference Open access

Ethan Michael McCormick

4

citations
Can the Kuznetsov Model Replicate and Predict Cancer Growth in Humans?
2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Mathematics Mathematical Biology Tumor Growth Open access

Mohammad El Wajeh, Falco Jung, Dominik Bongartz, Chrysoula Dimitra Kappatou, Narmin Ghaffari Laleh, Alexander Mitsos, +1 more

0

citations
Prediction models with survival data: a comparison between machine learning and the Cox proportional hazards model
2022 medRxiv preprint Mathematics Statistical Methods and Inference Open access

Audinga‐Dea Hazewinkel, Hans A. J. Gelderblom, Marta F. Fiocco

8

citations
Analysis of the transmission eigenvalue problem with two conductivity parameters
2022 arXiv (Cornell University) preprint Mathematics Numerical methods in inverse problems Open access

Rafael Ceja Ayala, Isaac Harris, Andreas Kleefeld, Nikolaos Pallikarakis

0

citations
Non-operable glioblastoma: proposition of patient-specific forecasting by image-informed poromechanical model
2023 bioRxiv (Cold Spring Harbor Laboratory) preprint Mathematics Mathematical Biology Tumor Growth Open access

Stéphane Urcun, Davide Baroli, Pierre‐Yves Rohan, Wafa Skalli, V. Lubrano, Stéphane Bordas, +1 more

1

citations
Surfacing Estimation Uncertainty in the Decay Parameters of Hawkes Processes with Exponential Kernels
2021 arXiv (Cornell University) preprint Mathematics Point processes and geometric inequalities Open access

Tiago Santos, Florian Lemmerich, Denis Helić

0

citations
Identifying summary statistics for approximate Bayesian computation in a phylogenetic island biogeography model
2023 bioRxiv (Cold Spring Harbor Laboratory) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Shu Xie, Luís Valente, Rampal S. Etienne

1

citations
Global classical solutions for a metastatic cancer invasion model with negative haptotaxis
2026 arXiv (Cornell University) preprint Mathematics Mathematical Biology Tumor Growth Open access

Nishith Mohan, Dimitrios Katsaounis

0

citations
Deformations of acid-mediated invasive tumors in a model with Allee effect
2024 arXiv (Cornell University) preprint Mathematics Mathematical Biology Tumor Growth Open access

Paul M. Carter, Arjen Doelman, Peter van Heijster, Philip K. Maini, Erin Okey, Paige Yeung

0

citations
Classical Mathematical Models for Prediction of Response to Chemotherapy and Immunotherapy
2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Mathematics Mathematical Biology Tumor Growth Open access

Narmin Ghaffari Laleh, Chiara Maria Lavinia Loeffler, Julia Grajek, Kateřina Staňková, Alexander T. Pearson, Hannah Sophie Muti, +4 more

14

citations
Improving Mathematical Models of Cancer through Game-Theoretic Modelling: A Study in Non-Small Cell Lung Cancer
2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Mathematics Mathematical Biology Tumor Growth Open access

Virginia Ardévol Martínez, Narmin Ghaffari Laleh, Frank Thuijsman, Joel S. Brown, Rachel Cavill, Jakob Nikolas Kather, +1 more

7

citations
Risk prediction models for discrete ordinal outcomes: calibration and the impact of the proportional odds assumption
2021 arXiv (Cornell University) preprint Mathematics Statistical Methods in Epidemiology Open access

Michael Edlinger, Maarten van Smeden, Hannes Franz Alber, Maria M. Wanitschek, Ben Van Calster

0

citations
A system for independent evaluation of clinical prediction models while preserving intellectual property and data privacy
2026 Zenodo (CERN European Organization for Nuclear Research) preprint Mathematics Statistical Methods in Epidemiology Open access

Joie Ensor, Ben Van Calster, Lasai Barreñada, Laure Wynants, Benjamin I. Perry

0

citations
Projecting COVID-19 intensive care admissions in the Netherlands for policy advice: February 2020 to January 2021
2023 medRxiv preprint Mathematics COVID-19 epidemiological studies Open access

Don Klinkenberg, Jantien A. Backer, Nicolette F. de Keizer, Jacco Wallinga

1

citations
BayesicFitting, a PYTHON Toolbox for Bayesian Fitting and Evidence Calculation
2021 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

D. J. M. Kester, Michael Mueller

0

citations
Causal Estimands for Analyses of Averted and Avertible Outcomes due to Infectious Disease Interventions
2024 medRxiv preprint Mathematics Advanced Causal Inference Techniques Open access

Katherine Min Jia, Christopher Boyer, Jacco Wallinga, Marc Lipsitch

1

citations
Adaptive sample size determination for the development of clinical prediction models
2020 Research Square preprint Mathematics Statistical Methods in Epidemiology Open access

Evangelia Christodoulou, Maarten van Smeden, Michael Edlinger, Dirk Timmerman, Maria M. Wanitschek, Ewout Willem Steyerberg, +1 more

1

citations
The causal interpretation of acceleration factors
2024 arXiv (Cornell University) preprint Mathematics Advanced Causal Inference Techniques Open access

Mari Brathovde, Hein Putter, Morten Valberg

0

citations
The impact of vaccinating adolescents and children on COVID-19 disease outcomes
2021 medRxiv preprint Mathematics COVID-19 epidemiological studies Open access

Kylie E. C. Ainslie, Jantien A. Backer, Pieter de Boer, Albert Jan van Hoek, Don Klinkenberg, Hester Korthals Altes, +4 more

2

citations
Hessian Chain Bracketing
2021 arXiv (Cornell University) preprint Mathematics Advanced Optimization Algorithms Research Open access

Uwe Naumann, Shubhaditya Burela

0

citations
A relaxation system for the low-Mach limit of kinetic equations: Stability and higher order asymptotic preserving scheme
2026 arXiv (Cornell University) preprint Mathematics Gas Dynamics and Kinetic Theory Open access

Giacomo Dimarco, Axel Klar, Theresa Köfler, Lorenzo Pareschi, Sudarshan Tiwari, Yizhou Zhou

0

citations
ForwardFlow: Simulation only statistical inference using deep learning
2026 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Stefan Böhringer

0

citations
Spatial populations with seed-bank: well-posedness, duality and equilibrium
2020 arXiv (Cornell University) preprint Mathematics Stochastic processes and statistical mechanics Open access

Andreas Greven, Margriet Oomen

4

citations
Two time points poorly capture trajectories of change: A warning for longitudinal neuroscience
2022 preprint Mathematics Statistical Methods and Bayesian Inference Open access

Sam Parsons, Ethan Michael McCormick

9

citations