Statistics is a systematic collection、Sort and analyze data to infer the nature of things or comprehensive disciplines for prediction。Statistical theory and method Large dependence on mathematical knowledge，and the scope of statistical application almost covers all areas of natural science and social sciences。From a certain degree of perspective，Statistics play a very important role in promoting the development of modern industry and the breakthrough of scientific research。

21st century is the digital era，Big data has become one of the most distinctive features and signs of the times，Artificial intelligence that has risen has also become the focus of people's attention。Data is the basis for statistics and artificial intelligence。So，Statistics not only become an important pillar of artificial intelligence development，At the same time, artificial intelligence has further enriched the scope of statistical research，Remove the statistical method and technology。

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In the study of traditional statistics，The establishment of the statistical model depends on the measurement method and structural characteristics of data。Statistics analysts often need to preset analysis strategies，Set the variables to be measured and data collection。In statistical thinking，The collected data is regarded as a Bet365 app download sample that comes from an overall interest，Sample inferring overall is the basic task of statistics。However, in actual problems，The collection of sample data often cannot fully follow the presets in advance，and the sample as a part of the overall，Whether it has a good representativeness to the overall overall will also affect the accuracy of many statistical analysis methods。With the advent of the era of big data，The size of the data that can be obtained during the data collection process has increased significantly，Increase in the sample volume makes the results of statistical inference and prediction more accurate。Taking an important branch of statistics as an example，The data collected in the survival analysis often has various information losses due to the restrictions of the collection method，However, as the sample volume increases，Large samples can reduce the interference caused by information loss to a certain extent，Improve the performance and effect of the model。At the same time，Thanks to the development of artificial intelligence technology and the improvement of computing power，Traditional statistical models that rely on linear structures to rely on linear structures also show a diversified trend，Various non -linear models began to dominate statistical analysis of the era of artificial intelligence。

Given the development trend of statistics in the era of artificial intelligence，In the study of the field of survival analysis, the author，Focus on deep learning，Especially the application of neural bet365 live casino games network technology，The application scope and practical effect of the traditional survival analysis model with a view to expanding the traditional survival analysis model。In a recent research，I try to introduce the neural network into the traditional survival analysis and regression model，On the basis of not increasing the sample amount，Improving the prediction effect by increasing the flexibility of the model。The most classic survival analysis return model in history is called "Cox model"，One of the important features is assuming that the influence structure of the independent variable on the risk -risk function of the variable is a linear structure。In traditional statistical modeling，Linear structure assumption is one of the most common assumptions，and have rich theoretical results。But，The relationship between variables in the real world is often more complicated non -linear relationship。So，If you can introduce non -linear features in the model，can be closer to the real situation of the objective world，As a result, the performance of the model，and the neural network has a powerful non -linear function approaching ability。With the help of neural network technology，The author has made two improvements on the COX model: First, the linear part of the independent variable is extended into an arbitrary form of function，Using deep neural network structure to estimate，Breaking the linear relationship between the original variables; the second is to introduce a random effect，in order to depict those that are bet365 live casino games not collected by data、But the factors that have potential effects on variables。Based on this model，I designed the corresponding algorithm to obtain parameter estimates，Then compare the prediction effect of this model and other existing algorithms on several data sets，It is found that this model has obvious improvement in predictive ability。In addition，The author also gives the theoretical nature of the model estimation。This practice that combines advanced algorithms and technology with traditional statistical models in artificial intelligence，It is an important trend in statistical research in the era of artificial intelligence。

　　Acquisition of artificial intelligence and statistics

With the advent of the era of artificial intelligence，On the one hand，The research hotspot is closely related to the development of artificial intelligence; on the other hand, the technical method of artificial intelligence not only helps to optimize the traditional statistical method，It also provides possible for improving the efficiency and accuracy of statistical analysis。

Today's artificial intelligence is mainly based on a large amount of data information，Let the computer use model and algorithm training，so that the computer can have some types of intelligence。In recent years，Artificial intelligence developed based on deep learning technology，Already in voice recognition、Natural language processing、Image recognition and other fields show strong vitality。The algorithm and technology bet365 Play online games involved in artificial intelligence，Whether it is deep learning、Pre -training technology，Or is the most popular big model today，It is inseparable from statistical support，Statistics is undoubtedly one of the basic subjects of artificial intelligence。Nobel Prize winner Sakinte even thinks，Artificial intelligence is just a statistical extension。So，The future development and evolution of artificial intelligence，It must be inseparable from statistical expansion and improvement。

Turn in turn，Artificial intelligence technology has also brought huge innovation to statistics。Research by the application of a neural network made by the author mentioned in the previous article，You can give another example here。In traditional statistical modeling，Statistics analysts often need to build various variables from the data resources based on the goals they have studied，Fittering data resources for structural processing，Then introduce statistical models。This step is generally called feature extraction。In many applications，The quality of feature extraction is often closely related to the final performance of the statistical model。But，​​As the most important deep learning as an artificial intelligence technology，It depends on the deep neural network structure，It can automatically implement feature extraction in a large amount of non -structured data，The so -called characteristic representation learning。This learning process can be completely independent Bet365 app download of subsequent statistical tasks，At the same time, you can use the ability of the algorithm to automatically achieve the best feature extraction for specific tasks。From this，To a certain extent，Statistical analysis in the era of artificial intelligence no longer needs to set up variables or extract features based on their own understanding of research issues，Instead, you can use the algorithm to automatically and effectively capture the inherent features of the data。This feature is particularly important in statistical analysis and modeling of large -scale complex data，Image analysis、genomics, etc.，It also brought significant changes to the traditional statistical modeling process。

In recent years，The development speed of artificial intelligence technology has exceeded people's expectations。Explanation of artificial intelligence technology theory from the perspective of statistical science，is a topic with important value。pragmatic，Compared to the development speed of technology，The progress of artificial intelligence can not keep up with the rhythm at the theoretical level。In addition，How to better foresee the border of the development of artificial intelligence technology，and statistical thoughts can it bring to artificial intelligence，All issues with great imagination。No doubt，Statistical research in the era of artificial intelligence，It will open a new era of development。

　　(Author Unit: Department of Statistics and Data Science, School of Management of Fudan University)