Metropolis Sampling

Monte Carlo (MC) sampling methods are widely applied in Bayesian inference, system simulation and optimization problems. The Markov Chain Monte Carlo (MCMC) algorithms are a well-known class of MC methods which generate a Markov chain with the desired invariant distribution. In this document, we focus on the Metropolis-Hastings (MH) sampler, which can be considered as the atom of the MCMC techniques, introducing the basic notions and different properties. We describe in details all the elements involved in the MH algorithm and the most relevant variants. Several improvements and recent extensions proposed in the literature are also briefly discussed, providing a quick but exhaustive overview of the current Metropolis-based sampling's world.Comment: Wiley StatsRef-Statistics Reference Online, 201

What factors promote student resilience on a level 1 distance learning module?

Resilience is understood to be the ability to adapt positively in the face of adversity. In relation to new students on a distance learning module, this can mean how they adapt and make sense of the demands of their chosen study to enable them to persist in their studies. This article reports a small-scale study involving semistructured telephone interviews with students on a level 1 distance learning module at the UK Open University. Students identified the challenges they experienced such as carving out time to study alongside other commitments, as well as developing their academic writing. Students also identified factors that enabled them to adapt to these challenges and be successful in continuing to study. Students rated highly the support they received from tutors in the form of tailored, detailed feedback on their assignments. Other factors that enabled students to persist in their studies were time management, self-belief and motivation

Suicide is painless?

I have no idea where I was when Elvis died, even less idea when Kennedy was assassinated. But I remember vividly where I was when the phone rang and I heard that my friend had killed herself

Success of distance learning graduates and the role of intrinsic motivation

This study explored the perceptions of 51 graduates of a distance learning health and social care programme, identifying what factors contributed to students continuing for the duration of their distance learning studies and completing their degree. An appreciative inquiry approach was used to identify the positive aspects of the students’ experience. Support from family, tutors and employers as well as flexibility of studying at the Open University UK, enabled graduates to continue their studies. A key aspect of the graduates’ success was the supportive feedback received from tutors, which they reported enabled them to build their knowledge, skills and confidence as they progressed to completion of their degree. Flexibility came in different forms, from being able to access their learning materials at any time around their busy lives, to tutors being very responsive to students’ needs. The findings are discussed in relation to the students’ development of competence and autonomy, factors that contribute to strengthen students’ intrinsic motivation

Making and changing healthy public policy

Revised by Kythé Beaumont, Jenny Douglas and Tom Heller from an original chapter by Linda Jones (2002). This chapter focuses more closely on the policy-making process. It discusses how policies are made and why issues are added to the policy agenda, and will guide you through som of the processes by which a certain number of policies achieve priority and become implemented in practice. ... This chapter suggests that people involved in public health work can influence policy decisions directly; for example, through lobbying and pressure group membership, and by the important role they play in policy implementation. However, in order to do so it is important to understand the nature of the policy-making process itself; what policy is and how it is made, influenced, implemented and changed