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Now in its second edition, this accessible text presents a unified
Bayesian treatment of state-of-the-art filtering, smoothing, and
parameter estimation algorithms for non-linear state space models.
The book focuses on discrete-time state space models and carefully
introduces fundamental aspects related to optimal filtering and
smoothing. In particular, it covers a range of efficient non-linear
Gaussian filtering and smoothing algorithms, as well as Monte
Carlo-based algorithms. This updated edition features new chapters
on constructing state space models of practical systems, the
discretization of continuous-time state space models, Gaussian
filtering by enabling approximations, posterior linearization
filtering, and the corresponding smoothers. Coverage of key topics
is expanded, including extended Kalman filtering and smoothing, and
parameter estimation. The book's practical, algorithmic approach
assumes only modest mathematical prerequisites, suitable for
graduate and advanced undergraduate students. Many examples are
included, with Matlab and Python code available online, enabling
readers to implement algorithms in their own projects.
Project work, driven by competent project leaders drives positive
outcomes. Unfortunately these optimistic initial results are often
short-sighted with few evaluations of their long-term impact. The
research contained in Managing Sustainable Development Programmes
reveals an extraordinary level of failure in the durability of
large change programmes and projects in both the private and public
sectors. In this book the authors question whether sustainable
development be achieved within the framework of large publicly
financed programmes. This strong critique of traditional programme
implementation overturns much of our current thinking about project
delivery and governance. The authors focus instead on sustainable
change and development. They show how active ownership and
collaboration between different actors and the dynamics of
developmental learning can be used to create programmes and
projects that contribute to innovation, employment and growth in a
way that favours companies, employees, customers and society in a
broader sense. The message at its heart is 'don't blame the project
leader' but rather look for dynamic possession of projects, joint
knowledge management and sharing with external stakeholders that
will secure long-term effects.
Viral Gastroenteritis: Molecular Epidemiology and Pathogenesis
provides a comprehensive review of research on viruses causing
acute gastroenteritis in infants and young children, including
coverage of rotaviruses, human caliciviruses, astroviruses, enteric
adenoviruses, and viruses causing gastroenteritis more rarely.
Includes general chapters on gastrointestinal physiology and
pathophysiology, gastrointestinal immune mechanisms,
immunodeficiencies and host genetics influencing susceptibility to
viral gastroenteritis, and therapeutic and preventative approaches.
The book also includes special sections on virus particle
structures, replication cycles, pathogenesis, immunology,
epidemiology, and preventative measures. This book covers both
basic science and translational applications and is an appropriate
resource for virologists, molecular biologists, epidemiologists,
gastroenterologists, vaccinologists, and those with an interest in
public health.
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