This book contains a systematic treatment of probability from the ground up, starting with intuitive ideas and gradually developing more sophisticated subjects, such as random walks, martingales, Markov chains, the measure-theoretic foundations of probability theory, weak convergence of probability measures, and the central limit theorem. Many examples are discussed in detail, and there are a l…
Proses titik poisson dan proses Markov adalah konsep dasar dalam teori probabilitas dan proses stokastik. Proses titik poisson adalah jenis proses penghitungan yang menggambarkan kejadian acak dari peristiwa dalam waktu atau ruang yang berkelanjutan. Di sisi lain, proses Markov adalah proses stokastik di mana keadaan sistem di masa depan hanya bergantung pada keadaan saat ini, dan bukan pada se…
What does a probabilistic program actually compute? How can one formally reason about such probabilistic programs? This valuable guide covers such elementary questions and more.