派博傳思國際中心

標(biāo)題: Titlebook: Machine Learning for Econometrics and Related Topics; Vladik Kreinovich,Songsak Sriboonchitta,Woraphon Y Book 2024 The Editor(s) (if appli [打印本頁]

作者: 要求    時間: 2025-3-21 18:26
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書目名稱Machine Learning for Econometrics and Related Topics影響因子(影響力)學(xué)科排名




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書目名稱Machine Learning for Econometrics and Related Topics網(wǎng)絡(luò)公開度學(xué)科排名




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書目名稱Machine Learning for Econometrics and Related Topics年度引用學(xué)科排名




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書目名稱Machine Learning for Econometrics and Related Topics讀者反饋學(xué)科排名





作者: 中和    時間: 2025-3-21 21:00
Studies in Systems, Decision and Controlhttp://image.papertrans.cn/m/image/620616.jpg
作者: Harass    時間: 2025-3-22 02:56

作者: Cupidity    時間: 2025-3-22 08:00

作者: 妨礙    時間: 2025-3-22 12:14

作者: Lethargic    時間: 2025-3-22 13:53

作者: enchant    時間: 2025-3-22 20:19

作者: 膽汁    時間: 2025-3-22 21:58
,Why Rectified Linear Unit Is Efficient in?Machine Learning: One More Explanation,ion for why rectified linear units—the main units of deep learning—are so effective. This explanation is similar to the usual explanation of why Gaussian (normal) distributions are ubiquitous—namely, it is based on an appropriate limit theorem.
作者: CLAY    時間: 2025-3-23 03:57
Book 2024uding economics. The use of machine learning in economics is the main focus of this book; however, the book also describes the use of more traditional econometric techniques. Applications include practically all major sectors of economics: agriculture, health (including the impact of Covid-19), manu
作者: 連系    時間: 2025-3-23 05:57
,Metrics on?Probability Distributions Through Optimal Commuting Maps,rating that different base measures can result in very different geometry. Finally, we augment a result in [.] by showing that our metric arises as the derivative of the cost in a multi-marginal optimal transport problem with respect to a parameter expressing the relative weights of the interactions between the variables.
作者: alcohol-abuse    時間: 2025-3-23 13:29

作者: 膠狀    時間: 2025-3-23 17:57
,Using Machine Learning Methods to?Estimate the?Gender Wage Gap,fically, we illustrate how to implement the proposal of Ahrens et al. [.] to use “stacking regression” in combination with the “Double-Debiased Machine Learning” methodology of Chernozhukov et al. [.].
作者: Tinea-Capitis    時間: 2025-3-23 18:53
,The a?Priori Procedure (APP) for?Estimating Regression Coefficients in?Multiple Linear Model with?Sded an application to regression coefficients. However, a limitation of the Tong et al. [.] work was the necessity to assume multivariate normality. The present work addresses the limitation with an expansion to multivariate skew normality.
作者: grovel    時間: 2025-3-24 01:08
2198-4182 onomics in agriculture, health, manufacturing, trade, and tr.In the last decades, machine learning techniques – especially techniques of deep learning – led to numerous successes in many application areas, including economics. The use of machine learning in economics is the main focus of this book;
作者: ineptitude    時間: 2025-3-24 04:08
,Why Shapley Value and?Its Variants Are Useful in?Machine Learning (and in?Other Applications),tural in cooperative games and but not in machine learning. In this paper, we provide a new simple derivation of the Shapley value, a derivation that does not use game-specific requirements like additivity and is, thus, applicable in the machine learning case as well.
作者: 殺死    時間: 2025-3-24 09:47

作者: COLON    時間: 2025-3-24 12:42
,Portfolio Management of?SET50 Stocks Using Deep Reinforcement Learning Methods,cal findings demonstrate that, in terms of Sharpe ratio and cumulative returns, the proposed reinforcement learning technique beats both the SET 50 Average index and the conventional min-variance portfolio allocation strategy.
作者: 提名    時間: 2025-3-24 18:54
Slow-Growing Trees, or diversification. SGT applies the former to estimate a single deep tree, and . (bagging stochastic BT with a high learning rate) uses the latter with additive shallow trees. The performance of this tree ensemble quaternity (Booging, BT, SGT, RF) is assessed on imulated and real regression tasks.
作者: cipher    時間: 2025-3-24 22:56
,Forecasting Market Index of?Stock Exchange of?Thailand, Malaysia, and?Singapore with?the?Gaussian Pt the Gaussian Process Regression (GPR) is a good model for capturing the stock market index in three Asian stock markets. By testing process, it is shown that the GPR model with lag 1 is the best model for the stock market in Malaysia and Thailand, and the GPR model with lag 5 is suitable for the stock market in Singapore.
作者: AORTA    時間: 2025-3-25 01:36

作者: ESPY    時間: 2025-3-25 05:36

作者: Enthralling    時間: 2025-3-25 08:41
Brendan Passel nicht verzichten. Zus?tzlich zu den wichtigsten Nutz- und Schadschimmelpilzen, deren Biologie, Toxine, Vorkommen und Verwendung, werden auch die grundlegenden Begriffe der Mykologie und der Lebensmitteltechnologie erl?utert.978-3-642-62980-8978-3-642-57058-2
作者: BUOY    時間: 2025-3-25 13:56
Rachel Forshaw,Vsevolod Iakovlev,Mark E. Schaffer,Cristina Tealdiel nicht verzichten. Zus?tzlich zu den wichtigsten Nutz- und Schadschimmelpilzen, deren Biologie, Toxine, Vorkommen und Verwendung, werden auch die grundlegenden Begriffe der Mykologie und der Lebensmitteltechnologie erl?utert.978-3-642-62980-8978-3-642-57058-2
作者: Eructation    時間: 2025-3-25 18:09
Wilawan Srichaikul,Somsak Chanaimel nicht verzichten. Zus?tzlich zu den wichtigsten Nutz- und Schadschimmelpilzen, deren Biologie, Toxine, Vorkommen und Verwendung, werden auch die grundlegenden Begriffe der Mykologie und der Lebensmitteltechnologie erl?utert.978-3-642-62980-8978-3-642-57058-2
作者: Fierce    時間: 2025-3-25 21:17
Tingting Tong,Xiangfei Chen,Tonghui Wang,David Trafimow,S. T. Boris Choy,Cong Wangel nicht verzichten. Zus?tzlich zu den wichtigsten Nutz- und Schadschimmelpilzen, deren Biologie, Toxine, Vorkommen und Verwendung, werden auch die grundlegenden Begriffe der Mykologie und der Lebensmitteltechnologie erl?utert.978-3-642-62980-8978-3-642-57058-2
作者: 絕緣    時間: 2025-3-26 02:33

作者: essential-fats    時間: 2025-3-26 04:34
Laxman Bokati,Olga Kosheleva,Vladik Kreinovich,Nguyen Ngoc Thachel nicht verzichten. Zus?tzlich zu den wichtigsten Nutz- und Schadschimmelpilzen, deren Biologie, Toxine, Vorkommen und Verwendung, werden auch die grundlegenden Begriffe der Mykologie und der Lebensmitteltechnologie erl?utert.978-3-642-62980-8978-3-642-57058-2
作者: KIN    時間: 2025-3-26 09:15

作者: Exuberance    時間: 2025-3-26 14:30
Olga Kosheleva,Vassilis G. Kaburlasos,Vladik Kreinovich,Roengchai Tansuchatel nicht verzichten. Zus?tzlich zu den wichtigsten Nutz- und Schadschimmelpilzen, deren Biologie, Toxine, Vorkommen und Verwendung, werden auch die grundlegenden Begriffe der Mykologie und der Lebensmitteltechnologie erl?utert.978-3-642-62980-8978-3-642-57058-2
作者: Keshan-disease    時間: 2025-3-26 17:08
Sunil Dashel nicht verzichten. Zus?tzlich zu den wichtigsten Nutz- und Schadschimmelpilzen, deren Biologie, Toxine, Vorkommen und Verwendung, werden auch die grundlegenden Begriffe der Mykologie und der Lebensmitteltechnologie erl?utert.978-3-642-62980-8978-3-642-57058-2
作者: 性行為放縱者    時間: 2025-3-26 21:52
S. P. Gayathri,Shine Raju Kappil,S. Vijayalakshmi,Ajeet Kumar Sahooel nicht verzichten. Zus?tzlich zu den wichtigsten Nutz- und Schadschimmelpilzen, deren Biologie, Toxine, Vorkommen und Verwendung, werden auch die grundlegenden Begriffe der Mykologie und der Lebensmitteltechnologie erl?utert.978-3-642-62980-8978-3-642-57058-2
作者: 血友病    時間: 2025-3-27 05:12

作者: debase    時間: 2025-3-27 06:50
Supanika Leurcharusmee,Anaspree Chaiwanel nicht verzichten. Zus?tzlich zu den wichtigsten Nutz- und Schadschimmelpilzen, deren Biologie, Toxine, Vorkommen und Verwendung, werden auch die grundlegenden Begriffe der Mykologie und der Lebensmitteltechnologie erl?utert.978-3-642-62980-8978-3-642-57058-2
作者: 組成    時間: 2025-3-27 10:01

作者: Interdict    時間: 2025-3-27 16:35

作者: sleep-spindles    時間: 2025-3-27 19:10
Parevee Maneejuk,Pichayakone Rakphoel nicht verzichten. Zus?tzlich zu den wichtigsten Nutz- und Schadschimmelpilzen, deren Biologie, Toxine, Vorkommen und Verwendung, werden auch die grundlegenden Begriffe der Mykologie und der Lebensmitteltechnologie erl?utert.978-3-642-62980-8978-3-642-57058-2
作者: 來就得意    時間: 2025-3-27 22:07

作者: 同來核對    時間: 2025-3-28 04:19
Trade with Heterogeneous Firms, Distance, and Time: An Analysis of Latin American and the Caribbean the effects of distance and time of travel on export to be negative, however, these effects are likely higher for small and medium firms than for large firms. Comparing these effects across modes suggests that exporting by maritime and land is likely to have higher effects than exporting by air.
作者: infelicitous    時間: 2025-3-28 08:17
Analysis and Prediction of Suitable Model for Coconut Production Estimates in South Indian States,to take necessary decisions. Future projections depict that Kerala will continue to be the largest producer of coconut and Karnataka will show remarkable performance in coconut production during the upcoming four years post-study period.
作者: commonsense    時間: 2025-3-28 10:55
,Household Characteristics and?the?Pattern of?Gambling, Alcohol and?Tobacco Expenditures,useholds do not spend on any of the three dimensions of unhealthy behaviors and gambling is a major problem in Thailand, with 33% of households falling into the gamble-only cluster. In addition, 16% fall into clusters with multidimensional unhealthy behaviors. Household characteristics associated wi
作者: 噴出    時間: 2025-3-28 18:02
,Effects of?Household Income and?Parental Absence on?Investment in?Child Education in?Thailand: Evidardless of parental presence in the households. With the exception of households where only the mother is present because the father works elsewhere or for other reasons, low-income households have a relatively low income elasticity of educational expenditure. The results of this study allow policym
作者: 強制令    時間: 2025-3-28 22:14

作者: gentle    時間: 2025-3-29 01:45

作者: 中子    時間: 2025-3-29 04:32

作者: 嘲笑    時間: 2025-3-29 09:14

作者: Intrepid    時間: 2025-3-29 13:16
,What Makes a?Good Model?,lly the truth or high probability of model constituents, based on accepted assumptions, along with predictive ability, are what make a model good. The best model is one in which the complete cause of the observable is specified.
作者: 淡紫色花    時間: 2025-3-29 16:20
,Quantifying Fairness and?Discrimination in?Predictive Models,s become interested in the subject, offering an interesting re-reading of the topic. These questions are the consequences of numerous criticisms of algorithms used to translate texts or to identify people in images. With the arrival of massive data, and the use of increasingly opaque algorithms, it
作者: 偽證    時間: 2025-3-29 21:24

作者: hereditary    時間: 2025-3-30 02:14

作者: 追蹤    時間: 2025-3-30 07:23
,Using Machine Learning Methods to?Estimate the?Gender Wage Gap,aditionally the GWG has been estimated using regression models based on Mincer-type wage equations controlling for individual, job and firm characteristics. Recently the literature has shifted towards understanding the relevance of methodological choices in estimating the GWG, including new machine
作者: ZEST    時間: 2025-3-30 11:02
,Forecasting Market Index of?Stock Exchange of?Thailand, Malaysia, and?Singapore with?the?Gaussian P markets. This study compares the forecasting performance of the models with a lag from 1 to 5. The comparison is based on the root-mean-square error (RMSE) and the mean absolute error (MAE). The prediction results from the GPR are then compared to the Autoregressive model (AR). The results show tha
作者: 情愛    時間: 2025-3-30 16:04

作者: nutrition    時間: 2025-3-30 16:49
,Why Rectified Linear Unit Is Efficient in?Machine Learning: One More Explanation,ion for why rectified linear units—the main units of deep learning—are so effective. This explanation is similar to the usual explanation of why Gaussian (normal) distributions are ubiquitous—namely, it is based on an appropriate limit theorem.
作者: 平躺    時間: 2025-3-31 00:46
,Why Shapley Value and?Its Variants Are Useful in?Machine Learning (and in?Other Applications),rative games). This success is somewhat puzzling, since the usual derivation of the Shapley value is based on requirements like additivity that are natural in cooperative games and but not in machine learning. In this paper, we provide a new simple derivation of the Shapley value, a derivation that
作者: 透明    時間: 2025-3-31 04:02

作者: GLADE    時間: 2025-3-31 07:08

作者: 輕信    時間: 2025-3-31 09:22

作者: 秘方藥    時間: 2025-3-31 15:16

作者: 規(guī)范要多    時間: 2025-3-31 17:51

作者: GROSS    時間: 2025-4-1 00:13
,Household Characteristics and?the?Pattern of?Gambling, Alcohol and?Tobacco Expenditures,these behaviors have been found to be interrelated. This study illustrates the pattern of the unhealthy behaviors in Thailand by clustering households based on their gambling, alcohol and tobacco expenditures using the k-mean clustering method. In addition, we also examine household characteristics
作者: synovium    時間: 2025-4-1 02:56
,Effects of?Household Income and?Parental Absence on?Investment in?Child Education in?Thailand: Evidstment in their children’s education as their income increases. The contribution of this study is to apply the quantile-on-quantile (QQ) method to estimate the elasticities, which allows us to examine the local effect of each household income level on the distribution of educational expenditures. Mo




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