It takes the average reader 2 hours and 56 minutes to read Particle Filters for Random Set Models by Branko Ristic
Assuming a reading speed of 250 words per minute. Learn more
This book discusses state estimation of stochastic dynamic systems from noisy measurements, specifically sequential Bayesian estimation and nonlinear or stochastic filtering. The class of solutions presented in this book is based on the Monte Carlo statistical method. Although the resulting algorithms, known as particle filters, have been around for more than a decade, the recent theoretical developments of sequential Bayesian estimation in the framework of random set theory have provided new opportunities which are not widely known and are covered in this book. This book is ideal for...
Particle Filters for Random Set Models by Branko Ristic is 174 pages long, and a total of 44,196 words.
This makes it 59% the length of the average book. It also has 54% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 4 hours and 1 minute to read Particle Filters for Random Set Models aloud.
Particle Filters for Random Set Models is suitable for students ages 10 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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