標(biāo)題: Titlebook: Econometrics and Data Science; Apply Data Science T Tshepo Chris Nokeri Book 2022 Tshepo Chris Nokeri 2022 Data Science.Econometrics.Machin [打印本頁] 作者: 力學(xué) 時(shí)間: 2025-3-21 19:18
書目名稱Econometrics and Data Science影響因子(影響力)
書目名稱Econometrics and Data Science影響因子(影響力)學(xué)科排名
書目名稱Econometrics and Data Science網(wǎng)絡(luò)公開度
書目名稱Econometrics and Data Science網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Econometrics and Data Science被引頻次
書目名稱Econometrics and Data Science被引頻次學(xué)科排名
書目名稱Econometrics and Data Science年度引用
書目名稱Econometrics and Data Science年度引用學(xué)科排名
書目名稱Econometrics and Data Science讀者反饋
書目名稱Econometrics and Data Science讀者反饋學(xué)科排名
作者: CHOP 時(shí)間: 2025-3-21 23:37 作者: 祝賀 時(shí)間: 2025-3-22 01:30
https://doi.org/10.1007/978-1-4842-7434-7Data Science; Econometrics; Machine learning; Statistics; Deep Learning; Neural Networks; Time Series Anal作者: 松雞 時(shí)間: 2025-3-22 06:30
978-1-4842-7433-0Tshepo Chris Nokeri 2022作者: 串通 時(shí)間: 2025-3-22 10:43 作者: notification 時(shí)間: 2025-3-22 16:51
Inflation Simulation, Carlo simulation model. In particular, it employs this model to determine the probability of a change in the country’s central government debt across multiple trials. This method is useful when handling sequential data.作者: notification 時(shí)間: 2025-3-22 19:28 作者: acrimony 時(shí)間: 2025-3-22 22:53 作者: 偏狂癥 時(shí)間: 2025-3-23 04:53
Asian/American Curricular Epistemicideds, which paves the way for the econometrics field. It also covers the relevance of econometrics in devising and revising the economic policies of a nation. It then summarizes machine learning, deep learning, and structural equation modeling. To conclude, it reveals ways to extract macroeconomic data using a standard Python library.作者: 雕鏤 時(shí)間: 2025-3-23 08:58
https://doi.org/10.1007/978-3-662-05850-3 Carlo simulation model. In particular, it employs this model to determine the probability of a change in the country’s central government debt across multiple trials. This method is useful when handling sequential data.作者: Essential 時(shí)間: 2025-3-23 10:46 作者: SPALL 時(shí)間: 2025-3-23 14:03 作者: Camouflage 時(shí)間: 2025-3-23 20:18 作者: 朋黨派系 時(shí)間: 2025-3-24 00:22
Asiatischer Regionalismus im 21. Jahrhundertdels, including Autoregressive Moving Average (ARIMA) (p, d, q), which applies linear transformation between preceding and current values (autoregressive), integrative (random walk), and moving averages. One ARIMA model includes seasonality, called Seasonal ARIMA (P, D, Q) x (p, d, q). This chapter 作者: LIEN 時(shí)間: 2025-3-24 03:48
The Persistence of Informal Financevised machine learning Hidden Markov model used with time-series data. The beauty of this model is its lack of sensitivity to non-stationary data. After reading this chapter, you will better understand how the Gaussian Mixture model works and will know how to develop one. Note that HMM is an unsuper作者: 施舍 時(shí)間: 2025-3-24 09:02
ntire data set and allow the model to discover patterns in the data on its own, without any supervision. Given that this chapter covers cluster analysis, it introduces the simplest unsupervised machine learning model, called . The k-means method is easy to comprehend. When you’re conducting cluster 作者: 不適當(dāng) 時(shí)間: 2025-3-24 13:46
,Soziale Komponenten des Gesch?ftslebens,es. Artificial neural networks are a group of nodes that receive input values in the input layer and transform them in the subsequent hidden layer (a layer in between the input and output layer). This hidden layer transforms the nodes and allots varying . (vector parameters that determine the extent作者: Mystic 時(shí)間: 2025-3-24 15:06 作者: 群島 時(shí)間: 2025-3-24 22:58
Asiens M?rkte erfolgreich erschlie?enation model (SEM). Note that this is not a single method, but a framework that includes multiple methods. This method serves many purposes. It applies covariance analysis, for investigating joint variability, correlation analysis, for investigating statistical dependence, factor analysis, for invest作者: addition 時(shí)間: 2025-3-25 00:09 作者: Amenable 時(shí)間: 2025-3-25 07:07 作者: Extort 時(shí)間: 2025-3-25 11:22 作者: ostracize 時(shí)間: 2025-3-25 14:53
analysis, there is no real response variable—you treat all the variables the same. There is no predictor variable either, so there is no case of prediction/forecasting. You only analyze the patterns in the data.作者: 看法等 時(shí)間: 2025-3-25 18:53 作者: Frequency-Range 時(shí)間: 2025-3-25 20:12
Asiatischer Regionalismus im 21. Jahrhundertr time, which makes assumptions much stricter than in linear regression models. Before training the model, you must test for . using the Augmented Dickey-Fuller test, test for the presence of white noise, and test for autocorrelation.作者: 左右連貫 時(shí)間: 2025-3-26 02:55 作者: Annotate 時(shí)間: 2025-3-26 07:24
Forecasting Growth,r time, which makes assumptions much stricter than in linear regression models. Before training the model, you must test for . using the Augmented Dickey-Fuller test, test for the presence of white noise, and test for autocorrelation.作者: COUCH 時(shí)間: 2025-3-26 11:42
Solving Economic Problems Applying Artificial Neural Networks,structuring models and by replicating human neural activity as the base. . is the process of training networks (often through backward propagation, which involves updating weights in reserves, from the output layer).作者: 高射炮 時(shí)間: 2025-3-26 13:55 作者: Morsel 時(shí)間: 2025-3-26 20:42
Economic Causal Analysis Applying Structural Equation Modeling,igating the variability explained by the data about the model, and multivariate regression analysis, for investigating how various predictor variables influence the response variable. It also uses path analysis, for investigating structural models without measurement models.作者: Lipoprotein(A) 時(shí)間: 2025-3-26 23:53
Book 2022hor Tshepo Chris Nokeri begins by introducing you to covariance analysis, correlation analysis, cross-validation, hyperparameter optimization, regression?analysis, and residual analysis. In addition, he presents an approach to contend with multi-collinearity. He then debunks a time series model reco作者: Hormones 時(shí)間: 2025-3-27 03:40 作者: 小歌劇 時(shí)間: 2025-3-27 08:09
,The Future of Asian Migration to the?Gulf, U.S. banks charge for lending and the market value of goods and services that U.S. households consume annually. It includes ways of conducting covariance analysis, correlation analysis, model development, cross-validation, hyperparameter optimization, and model performance analysis.作者: 松馳 時(shí)間: 2025-3-27 11:36
Buffalo Meat Processing and Value Addition,gression equation. It applies the ordinary least-squares regression model to determine whether changes in the U.S. social contributions (the current LCU), lending interest rate (as a percentage), and GDP (Gross Domestic Product) growth as an annual percentage influence changes in the final consumption expenditure (in current U.S. dollars).作者: 縫紉 時(shí)間: 2025-3-27 16:47
The Persistence of Informal Financeer reading this chapter, you will better understand how the Gaussian Mixture model works and will know how to develop one. Note that HMM is an unsupervised learner, which means you can perform an investigation without any predetermined research hypothesis.作者: Offbeat 時(shí)間: 2025-3-27 17:54
Introduction to Econometrics,ds, which paves the way for the econometrics field. It also covers the relevance of econometrics in devising and revising the economic policies of a nation. It then summarizes machine learning, deep learning, and structural equation modeling. To conclude, it reveals ways to extract macroeconomic dat作者: 捐助 時(shí)間: 2025-3-27 22:07 作者: 是剝皮 時(shí)間: 2025-3-28 05:05 作者: 歡笑 時(shí)間: 2025-3-28 07:47 作者: 歌劇等 時(shí)間: 2025-3-28 14:27 作者: chronology 時(shí)間: 2025-3-28 15:31 作者: commute 時(shí)間: 2025-3-28 18:57 作者: 食道 時(shí)間: 2025-3-29 02:04
Inflation Simulation, Carlo simulation model. In particular, it employs this model to determine the probability of a change in the country’s central government debt across multiple trials. This method is useful when handling sequential data.作者: Felicitous 時(shí)間: 2025-3-29 03:09 作者: mydriatic 時(shí)間: 2025-3-29 09:15
Book 2022works are explored along with training them and assessing their performance. The Monte Carlo simulation technique is applied to stimulate the purchasing power of money in an?economy. Lastly, the Structural Equation Model (SEM) is considered to integrate correlation analysis, factor analysis, multiva
