"What Does Statistics Have to Do With Me: Minimalist Statistics in Life" puts aside the incomprehensible "Bayesian formula" and uses "area charts" for intuitive interpretation. As long as you can do the four arithmetic operations, you can get started quickly and understand the essence of Bayesian statistics in every life scenario. The advantage of Bayesian statistics is that "it can make inferences even when there is little data." The statistical process of Bayesian statistics is very similar to the decision-making process of the human brain, and it has a wide range of commercial applications in the era of artificial intelligence. Microsoft operating system, Google's automatic translation system, etc. Have introduced Bayesian statistical technology. If you can master Bayesian statistics, individuals can make better decisions, which can be said to be closely related to a good life.
Reader comments
It is quite friendly if you only read the first half of this book, because the previous author tells you in a very concise and clear way how to explain the prior probability, conditional probability and posterior probability in the form of area. These are the basic probabilities of Bayesian probability. No matter whether you are a novice or not, you can understand this. The difficulty of the second half is different from the first half. It requires the assistance of advanced mathematics and the foundation of advanced mathematics to understand and understand the content. So if you just want to understand Bayesian probability, this is a good book. Just read the first half to get a basic understanding. If you want to go in depth, please learn advanced mathematics first.
There are many people interested in Bayesian statistics. However, the previous textbooks were easy to write in the introductory part, but the difficulty suddenly increased in the middle, which frustrated many readers. This is because before the essence of Bayesian statistics is understood, a lot of probability symbols are instilled, making it more difficult to understand. What does statistics have to do with me? Put aside the incomprehensible "Bayes' formula" and use the "area chart" for intuitive interpretation. As long as you can do the four arithmetic operations, you can get started quickly and understand the essence of Bayesian statistics in every life scenario. The advantage of Bayesian statistics is that "it can make inferences even when there is little data." The statistical process of Bayesian statistics is very similar to the decision-making process of the human brain, and it has a wide range of commercial applications in the era of artificial intelligence. Microsoft operating system, Google's automatic translation system, etc. Have introduced Bayesian statistical technology. If you can master Bayesian statistics, individuals can make better decisions, which can be said to be closely related to a good life.
Regarding statistics, the purpose of statistical research is to seek the regularity of changes in various phenomena and predict the future. Statistics is mainly divided into two professional directions: general statistics and economic statistics. General statistics mainly studies the basic theories and methods of statistics; economic statistics is a science that provides scientific investigation and collection of economic information, as well as description and analysis of economic data and prediction and supervision of social and economic operation processes. Learning statistics will also be of great help to us. This book mainly focuses on Bayesian statistics. It uses very easy-to-understand illustrations to explain the characteristics and principles of Bayesian statistics. It also introduces beta distribution and normal distribution. It is a great tool book that allows us to truly understand statistics.
Bayesian probability is actually not as mysterious as imagined, and anyone can use it. It is different from the ordinary probabilities. It is a reason derived from the result. For example, when we usually see a, we will know the occurrence of b. Then when one day you want to know whether b will occur, you will observe the movement of a. If it occurs, then there is a high probability that b will also occur. Bayesian only converts events into process numbers to express them. When our common swallows fly low and ants move, there must be changes in the weather. The relationship between the two is also a manifestation of the Bayesian method. So after knowing its cause, it is not difficult to use her.
This book is very suitable for laymen like me. It uses simple area charts and straightforward text to allow me, a math novice, to easily understand Bayesian statistics. Moreover, the book also mentions that mastering Bayesian statistics can help us make better decisions, which is very helpful in life! I especially like a sentence in the book: "It is this 'unreliability' that is the essence of Bayesian statistics." I feel that this sentence suddenly points out the uniqueness of Bayesian statistics. I think this book is really great and I recommend it to you!
In life, when we look at weather forecasts or some weather apps, the probability of rain at a certain time is often as high as 90%. How do we understand this data? In fact, there are two situations in the weather (regardless of special circumstances): whether it rains or not, the corresponding probability should be 50%. Why does the data of 90% appear? From a statistical point of view, if the weather conditions at that time point can be repeated 100 times, then 90% of the data means that it will rain 90 times, and it will not rain the remaining 10 times. So 90% of the data comes from here, not that there is 90% certainty that it will rain. After reading this book, you will have some concepts and understanding of statistics.
Lectures on Bayesian statistics with easy-to-understand content.
It is quite friendly if you only read the first half of this book, because the previous author tells you in a very concise and clear way how to explain the prior probability, conditional probability and posterior probability in the form of area. These are the basic probabilities of Bayesian probability. No matter whether you are a novice or not, you can understand this. The difficulty of the second half is different from the first half. It requires the assistance of advanced mathematics and the foundation of advanced mathematics to understand and understand the content. So if you just want to understand Bayesian probability, this is a good book. Just read the first half to get a basic understanding. If you want to go in depth, please learn advanced mathematics first.
There are many people interested in Bayesian statistics. However, the previous textbooks were easy to write in the introductory part, but the difficulty suddenly increased in the middle, which frustrated many readers. This is because before the essence of Bayesian statistics is understood, a lot of probability symbols are instilled, making it more difficult to understand. What does statistics have to do with me? Put aside the incomprehensible "Bayes' formula" and use the "area chart" for intuitive interpretation. As long as you can do the four arithmetic operations, you can get started quickly and understand the essence of Bayesian statistics in every life scenario. The advantage of Bayesian statistics is that "it can make inferences even when there is little data." The statistical process of Bayesian statistics is very similar to the decision-making process of the human brain, and it has a wide range of commercial applications in the era of artificial intelligence. Microsoft operating system, Google's automatic translation system, etc. Have introduced Bayesian statistical technology. If you can master Bayesian statistics, individuals can make better decisions, which can be said to be closely related to a good life.
Regarding statistics, the purpose of statistical research is to seek the regularity of changes in various phenomena and predict the future. Statistics is mainly divided into two professional directions: general statistics and economic statistics. General statistics mainly studies the basic theories and methods of statistics; economic statistics is a science that provides scientific investigation and collection of economic information, as well as description and analysis of economic data and prediction and supervision of social and economic operation processes. Learning statistics will also be of great help to us. This book mainly focuses on Bayesian statistics. It uses very easy-to-understand illustrations to explain the characteristics and principles of Bayesian statistics. It also introduces beta distribution and normal distribution. It is a great tool book that allows us to truly understand statistics.
Bayesian probability is actually not as mysterious as imagined, and anyone can use it. It is different from the ordinary probabilities. It is a reason derived from the result. For example, when we usually see a, we will know the occurrence of b. Then when one day you want to know whether b will occur, you will observe the movement of a. If it occurs, then there is a high probability that b will also occur. Bayesian only converts events into process numbers to express them. When our common swallows fly low and ants move, there must be changes in the weather. The relationship between the two is also a manifestation of the Bayesian method. So after knowing its cause, it is not difficult to use her.
This book is very suitable for laymen like me. It uses simple area charts and straightforward text to allow me, a math novice, to easily understand Bayesian statistics. Moreover, the book also mentions that mastering Bayesian statistics can help us make better decisions, which is very helpful in life! I especially like a sentence in the book: "It is this 'unreliability' that is the essence of Bayesian statistics." I feel that this sentence suddenly points out the uniqueness of Bayesian statistics. I think this book is really great and I recommend it to you!
In life, when we look at weather forecasts or some weather apps, the probability of rain at a certain time is often as high as 90%. How do we understand this data? In fact, there are two situations in the weather (regardless of special circumstances): whether it rains or not, the corresponding probability should be 50%. Why does the data of 90% appear? From a statistical point of view, if the weather conditions at that time point can be repeated 100 times, then 90% of the data means that it will rain 90 times, and it will not rain the remaining 10 times. So 90% of the data comes from here, not that there is 90% certainty that it will rain. After reading this book, you will have some concepts and understanding of statistics.
Lectures on Bayesian statistics with easy-to-understand content.