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A hierarchical Bayesian framework for understanding the spatiotemporal dynamics of the intestinal epithelium
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Modern perspectives on statistics for spatio‐temporal data
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Causation, Prediction, and Search
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Hierarchical Bayesian Time Series Models
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A review of spatial computational models for multi-cellular systems, with regard to intestinal crypts and colorectal cancer development
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Evidential statistics as a statistical modern synthesis to support 21st century science
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Approximate Bayesian computational methods
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Oncogenic miRNAs and the Perils of Losing Control of a Stem Cell’s Epigenetic Identity
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Finite Volume Methods for Hyperbolic Problems
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Physical‐statistical modeling in geophysics
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Statistical inference for noisy nonlinear ecological dynamic systems
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Intestinal mucosal barrier function in health and disease
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Adult intestinal stem cells: critical drivers of epithelial homeostasis and regeneration
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Cell migration and organization in the intestinal crypt using a lattice‐free model
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Colorectal cancer through simulation and experiment
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Science and Statistics
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Explanation, Invariance, and Intervention
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Continuum approximations of individual-based models for epithelial monolayers
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Cell proliferation within small intestinal crypts is the principal driving force for cell migration on villi
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Probabilistic numerics and uncertainty in computations
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From a discrete to a continuum model of cell dynamics in one dimension
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Circadian Variation In Migration Velocity In Small Intestinal Epithelium
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Cell Migration Velocities In the Crypts of the Small Intestine After Cytotoxic Insult Are Not Dependent On Mitotic Activity
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Intestinal Cell Proliferation. I. A Comprehensive Model of Steady‐State Proliferation In the Crypt
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Scoring Mitotic Activity In Longitudinal Sections of Crypts of the Small Intestine
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Intestinal Crypt Proliferation. Ii. Computer Modelling of Mitotic Index Data Provides Further Evidence For Lateral and Vertical Cell Migration In the Absence of Mitotic Activity
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Statistical inference for stochastic simulation models - theory and application
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Influence Diagrams for Causal Modelling and Inference
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Hierarchical Models in Environmental Science
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Philosophy and the practice of Bayesian statistics
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Conditional Independence in Statistical Theory
inferredcites →https://doi.org/10.1126/science.1104815openalex-snapshot
Self-Renewal and Cancer of the Gut: Two Sides of a Coin
inferredcites →https://doi.org/10.1126/science.1196236openalex-snapshot
Intestinal Stem Cell Replacement Follows a Pattern of Neutral Drift
inferredcites →https://doi.org/10.1126/science.1243148openalex-snapshot
Defining Stem Cell Dynamics in Models of Intestinal Tumor Initiation
inferredcites →https://doi.org/10.1137/1.9780898717921openalex-snapshot
Inverse Problem Theory and Methods for Model Parameter Estimation
inferredcites →https://doi.org/10.1137/110856976openalex-snapshot
PyClaw: Accessible, Extensible, Scalable Tools for Wave Propagation Problems
inferredcites →https://doi.org/10.1137/130929230openalex-snapshot
Statistics of Parameter Estimates: A Concrete Example
inferredcites →https://doi.org/10.1142/s0218202515400187openalex-snapshot
Multiscale modelling of intestinal crypt organization and carcinogenesis
inferredcites →https://doi.org/10.1146/annurev-statistics-022513-115657openalex-snapshot
Build, Compute, Critique, Repeat: Data Analysis with Latent Variable Models
inferredcites →https://doi.org/10.1146/annurev.pathol.4.110807.092135openalex-snapshot
Epithelial Barriers in Homeostasis and Disease
inferredcites →https://doi.org/10.1146/annurev.physiol.010908.163145openalex-snapshot
Stem Cells, Self-Renewal, and Differentiation in the Intestinal Epithelium
inferredcites →https://doi.org/10.1198/106186004x11435openalex-snapshot
Exploratory Data Analysis for Complex Models
inferredcites →https://doi.org/10.1201/9781420010664openalex-snapshot
Stochastic Modelling for Systems Biology
inferredcites →https://doi.org/10.1201/9781420011340openalex-snapshot
Generalized Linear Models with Random Effects
inferredcites →https://doi.org/10.1201/b11812openalex-snapshot
Stochastic Modelling for Systems Biology
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Measuring Statistical Evidence Using Relative Belief
inferredcites →https://doi.org/10.1201/b18587-7openalex-snapshot
Measuring Statistical Evidence Using Relative Belief
inferredcites →https://doi.org/10.1214/09-ss057openalex-snapshot
Causal inference in statistics: An overview
inferredcites →https://doi.org/10.1214/13-sts457openalex-snapshot
On the Birnbaum Argument for the Strong Likelihood Principle
inferredcites →https://doi.org/10.1214/14-sts471openalex-snapshot
Discussion of “On the Birnbaum Argument for the Strong Likelihood Principle”
inferredcites →https://doi.org/10.1371/journal.pone.0080516openalex-snapshot
Computational Models Reveal a Passive Mechanism for Cell Migration in the Crypt
inferredcites →https://doi.org/10.1515/sagmb-2013-0010openalex-snapshot
Approximate Bayesian computation (ABC) gives exact results under the assumption of model error
inferredcites →https://doi.org/10.1890/07-0744.1openalex-snapshot
Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling
inferredcites →https://doi.org/10.1890/08-0560.1openalex-snapshot
Hierarchical Bayesian statistics: merging experimental and modeling approaches in ecology
inferredcites →https://doi.org/10.2307/2982063openalex-snapshot
Sampling and Bayes' Inference in Scientific Modelling and Robustness
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Models, measurement and inference in epithelial tissue dynamics
inferredcites →https://doi.org/10.4161/cc.6.17.4649openalex-snapshot
Examples of Mathematical Modeling: Tales from the Crypt
inferredcites →https://doi.org/10.48550/arxiv.1501.03291openalex-snapshot
Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models
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Making things happen: a theory of causal explanation
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Causation, Prediction, and Search
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