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Statistics PhD Projects, Programmes & Scholarships

We have 163 Statistics PhD Projects, Programmes & Scholarships

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We have 163 Statistics PhD Projects, Programmes & Scholarships

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Physiological basis linking sleep continuity and age-related cognitive deficits: in vivo manipulation and monitoring of activity of layer 5 neurons in the cortex of mice

  Research Group: Surrey Sleep Research Centre (SSRC)
A good night’s sleep is essential to maintain proper mental health. In particular, consolidated periods of sleep (i.e. sleep continuity) seem to be critical for cognition as reported in humans (Della Monica et al., 2018) and rodents (Rolls et al., 2011). Read more

Measuring Tail Operational Risk under Extreme Value Theory

Operational risk is defined as "the risk of direct or indirect loss resulting from inadequate or failed internal processes, people and systems or from external events'' by Basel Committee on Banking Supervision (BCBS, 2003). Read more

Evolutionary game theory and population dynamics

Evolutionary Game Theory (EGT) [MSP73] has proven to be a powerful and versatile mathematical framework for the modelling and analysis of complex biological (and economical) systems whenever there is frequency dependent selection. Read more

Memory in vegetation response to environmental fluctuations (Advert Reference: RDF22-R/EE/GES/LIU)

Plants live in and respond to fluctuating environments around them. Importantly, many plant responses are not only driven by current environmental conditions, but show “memory” to conditions in the past. Read more

Computational modelling of composite plates and shells using data-driven approach (Advert Reference: RDF22-R/EE/MCE/NGUYEN)

Recent report from Department for Business, Energy & Industrial Strategy and Innovate UK in July 2021 revealed that the UK composite end-product market in 2019 was estimated at £2.8B and expected to grow to £4.3B by 2035. Read more
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Time changed multivariate models: calibration and fit on financial data

Abstract.  Multi-asset derivative pricing is still an active field of research in financial modeling, calling for multivariate stochastic models that reproduce well-known stylized facts such as skewness and excess kurtosis of marginal return distributions. Read more
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Stochastic modelling of subsurface water flow

Abstract. The subsurface water flow in natural formations with multiscale heterogeneities exhibit complex patterns. Our aim is to efficiently represent this motion by resorting to stochastic models for anomalous transport (e.g., continuous time random walks, Lévy flights, Lévy walks). Read more
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Duality methods in Bayesian inference for hidden Markov models

Abstract. The project deals with Bayesian inference on the trajectory of a diffusion process or on the parameters that characterize its drift and volatility, under the assumption of a hidden Markov model framework with noisy data collection. Read more

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