Error rating book. Refresh and try again. Open Preview See a Problem? Details if other :. Thanks for telling us about the problem. Return to Book Page. A classic of science, this famous essay by "the Newton of France" introduces lay readers to the concepts and uses of probability theory.
It is of especial interest today as an application of mathematical techniques to problems in social and biological sciences. Generally recognized as the founder of the modern phase of probability theory, Laplace here applies the prin A classic of science, this famous essay by "the Newton of France" introduces lay readers to the concepts and uses of probability theory. Generally recognized as the founder of the modern phase of probability theory, Laplace here applies the principles and general results of his theory "to the most important questions of life, which are, in effect, for the most part, problems in probability.
Skilled mathematicians, too, will enjoy and benefit from seeing how one of the immortals of science expressed so many complex ideas in such simple terms. Get A Copy. Paperback , pages. Published January 18th by Dover Publications first published December 13th More Details Original Title.
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Sort order. Jun 28, Jake rated it it was amazing. When we try to model the world from our data in some way, it should arise from our beliefs and irregularities we observe from the universe.
The simplest model we often use, linear regression, is easily resolved with just two data points. LaPlace would be the one who did the grunt work of generalizing mechanics and that was used as a framework for thinking about probabilities in this book. This was a conjecture by LaPlace years ahead of the formal proof.
We have a predilection for rewarding the first to discover an idea, and not the first to make it usable. This in my view is a mistake.
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Holding it up as the sign that he thought the world was deterministic. Probability is relative in part to this ignorance, and in part to our knowledge. He would go onto propose the use of what is now known as latent variables, although he did not use this language. Noise as it is referred to today is what we observe in terms of our data about the world that departs from what we say in our model, which we deal with with a probability distribution. It was this thinking that would lead him to be the first to formally prove the central limit theorem which was the justification for the Gaussian density.
Interpretations of Probability
Hermann, Price Fr. By Pierre Simon Marquis de Laplace. Reprints and Permissions. By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate. Advanced search. Skip to main content. Subscribe Search My Account Login.
On elections and decisions of assemblies. On the probability of judicial decisions. On tables of mortality and the mean duration of life marriages and associations in general. On the benefits of institutions that depend on the probability of events. On illusions in the estimation of probabilities. On various approaches to certainty. Historical note on the probability calculus. Application of the probability calculus to natural philosophy. Application of the probability calculus to the moral sciences.
On the means of the results of a large number of observations. On the probability of testimony.
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