Quantile-based methods for prediction, risk measurement and inference [PDF]
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.The focus of this thesis is on the employment of theoretical and practical quantile methods in addressing prediction, risk measurement and inference ...
Ally, Abdallah K
core +7 more sources
Efficient Bayesian inference for partially observed stochastic epidemics and a new class of semi-parametric time series models [PDF]
This thesis is divided in two distinct parts. In the First part we are concerned with developing new statistical methodology for drawing Bayesian inference for partially observed stochastic epidemic models.
Kypraios, Theodoros, Kypraios, Theodore
core +4 more sources
Bayesian inference with stochastic volatility models using continuous superpositions of non-Gaussian Ornstein-Uhlenbeck processes [PDF]
Continuous superpositions of Ornstein-Uhlenbeck processes are proposed as a model for asset return volatility. An interesting class of continuous superpositions is defined by a Gamma mixing distribution which can define long memory processes. In contrast,
Griffin, Jim E. +2 more
core +1 more source
Computational Methods for Complex Stochastic Systems: A Review of Some Alternatives to MCMC. [PDF]
We consider analysis of complex stochastic models based upon partial information. MCMC and reversible jump MCMC are often the methods of choice for such problems, but in some situations they can be difficult to implement; and suffer from problems such as
Fearnhead, Paul
core +5 more sources
A hierarchical model for real-time monitoring of variation in risk of non-specific gastrointestinal infections [PDF]
The AEGISS (Ascertainment and Enhancement of Disease Surveillance and Statistics) project uses spatio-temporal statistical methods to identify anomalies in the incidence of gastrointestinal infections in the UK.
Kaimi, I., Diggle, P. J.
core +5 more sources
Statistical inference of regulatory networks for circadian regulation [PDF]
The work described in the present article is part of the TiMet project on linking the circadian clock to metabolism in plants. TiMet is a collaborative project (Grant Agreement 245143) funded by the European Commission FP7, in response to call FP7-KBBE ...
Aderhold, Andrej +2 more
core +1 more source
Comparing distributions by using dependent normalized random-measure mixtures [PDF]
A methodology for the simultaneous Bayesian non-parametric modelling of several distributions is developed. Our approach uses normalized random measures with independent increments and builds dependence through the superposition of shared processes.
J. E. Griffin +8 more
core +1 more source
Optimal alarm systems for count processes [PDF]
In many phenomena described by stochastic processes, the implementation of an alarm system becomes fundamental to predict the occurrence of future events.
Scotto, MG, Pereira, I, Monteiro, M
core +1 more source
Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri +5 more
wiley +1 more source
Membrane composition and thermodynamic identity as boundaries of life for synthetic cell research
What makes a cell a cell? The boundary of a living cell is not just a wall. Read as a Markov blanket, the membrane separates internal from external states, generating identity and non‐equilibrium order. Can this identity be rebuilt from scratch in a synthetic cell?
Caterina Presutti, Bert Poolman
wiley +1 more source

