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  • Intro to ABC-SMC.pdf
       an overview of Approximate Bayesian Computation (ABC) and its advancements via Sequential Monte Carl ...

  • 568.39 KB
  • 2024-4-30

  • Lectures.rar

    本附件包括：
    • Lecture Note on V Bayesian games and mechanism design.pdf
    • Lecture Note on VI Perfect competition and competition policy.pdf
    • CH 01 Cooperation as the central focus of microeconomics.pdf
    • contents.pdf
    • Lecture Note on I Basic decision and preference theory.pdf
    • Lecture Note on II Household theory and theory of the firm.pdf
    • Lecture Note on III Games and industrial organization.pdf
    • Lecture Note on IV Bargaining theory and Pareto optimality.pdf
    • Lecture Note on VII Contracts and principal-agent theories.pdf
  • 7.01 MB
  • 2024-4-27

  • BayesEL.SQR.zip

    本附件包括：
    • sim.spatial.r
    • BEL.r
    • examples.r
    • IVRQ.r
    • wwIVRQ.r
  • 14.54 KB
  • 2023-12-31

  • 东方证券-因子选股系列研究1-48.zip
       最好的多因子系列

    本附件包括：
    • 26. 因子选股与事件驱动的Bayes整合.pdf
    • 1. 多因子模型的基石－－单因子有效性检验.pdf
    • 10. Alpha因子库精简与优化.pdf
    • 11. 资金规模对策略收益的影响.pdf
    • 12. 线性高效简化版冲击成本模型.pdf
    • 13. Alpha预测.pdf
    • 14. 非流动性的度量及其横截面溢价.pdf
    • 15. 东方机器选股模型Ver1.0.pdf
    • 16. 非对称价格冲击带来的超额收益.pdf
    • 17. A股市场风险分析.pdf
    • 18. 在Alpha衰退之前.pdf
    • 19. 动态情景Alpha模型再思考.pdf
    • 2. 低特质波动，高超额收益_因子选股系列研究之二.pdf
    • 20. 技术类新Alpha因子的批量测试.pdf
    • 21. 组合优化是与非.pdf
    • 22. 中美市场因子选股效果对比分析.pdf
    • 23. 反转因子失效市场下的量化策略应对.pdf
    • 24. 细分行业建模之银行内因子研究.pdf
    • 25. 多因子模型在港股中的应用.pdf
    • 27. 预期外的盈利能力.pdf
    • 28. 用机器学习解释市值，特异市值因子.pdf
    • 29. 细分行业建模之券商内因子研究.pdf
    • 29. 质优股量化投资.pdf
    • 3. 投机、交易行为与股票收益（上）.pdf
    • 30. 量化因子选股回顾与展望.pdf
    • 31. 风险模型在时间序列上的改进.pdf
    • 32. 分析师研报的数据特征与alpha.pdf
    • 33. 反转因子择时研究.pdf
    • 34. 基于风险监控的动态调仓策略.pdf
    • 35. 组合优化的若干问题.pdf
    • 36. A股小市值溢价的来源.pdf
    • 37. 风险模型提速组合优化的另一种方案.pdf
    • 38. 协方差矩阵谱分解近似方法的补充.pdf
    • 39. 业绩超预期类因子.pdf
    • 4. 基于交易热度的指数增强.pdf
    • 40. 因子择时.pdf
    • 41. 公司研发费用因子探究.pdf
    • 42. 上市公司业绩预告信息研究.pdf
    • 43. 盈利预测与市价隐含预期收益.pdf
    • 44. 东方A股因子风险模型（DFQ~2018）.pdf
    • 45. 基于copula的尾部相关性研究，上尾异常相关系数因子.pdf
    • 46. DFQ2018绩效归因与基金投资分析工具.pdf
    • 47. A股涨跌幅排行榜效应.pdf
    • 48. Alpha与Smart_Beta.pdf
    • 5. 剔除行业、风格因素后的大类因子检验.pdf
    • 6. 用组合优化构建更精确多样的投资组合.pdf
    • 7. 投机、交易行为与股票收益（下）.pdf
    • 8. 动态情景多因子Alpha模型.pdf
    • 9. 日内残差高阶矩与股票收益.pdf
  • 83.45 MB
  • 2023-12-23

  • 数理统计学，数据科学的统计基础.rar
       数理统计

    本附件包括：
    • 第六章：Bayes统计与统计判决理论.pdf
    • 第七章：非参数统计.pdf
    • 第八章：抽样调查.pdf
    • 第一章：统计量与抽样分布.pdf
    • 第二章：点估计.pdf
    • 第三章：区间估计.pdf
    • 第四章：假设检验.pdf
    • 第五章：分布的检验.pdf
  • 32.41 MB
  • 2023-11-18

  • Taylor_&_Francis_Articles(11Nov2023) (4).zip

    本附件包括：
    • 00-Bayesian Inference for Kendall_s Rank Correlation Coefficient.pdf
  • 753.37 KB
  • 2023-11-12

  • Taylor_&_Francis_Articles(11Nov2023) (2).zip

    本附件包括：
    • 00-Bayesian Inference for Kendall_s Rank Correlation Coefficient.pdf
  • 753.24 KB
  • 2023-11-12

  • Machine Learning_ A Bayesian and Optimization Perspective (Solutions) (Instructo.zip
       机器学习&贝叶斯与优化的视角第2版第2-19章习题答案

    本附件包括：
    • Machine Learning_ A Bayesian and Optimization Perspective (Solutions) (Instructor's Solution Manual).pdf
  • 3.22 MB
  • 2023-6-17

  • A First Course in Bayesian Statistical Methods.rar
       A First Course in Bayesian Statistical Methods

    本附件包括：
    • A First Course in Bayesian Statistical Methods.pdf
  • 2.72 MB
  • 2023-6-1

  • Shocks and Frictions in US Business Cycles_ A Bayesian DSGE Approach[数据与源代码].zip
       论文原始数据和源代码

    本附件包括：
    • BVAR_statistics_usmodel_data.m
    • LICENSE.txt
    • mgnldnsty_fcast.m
    • readme.doc
    • readme.pdf
    • sims_fcast.m
    • usmodel.mod
    • usmodel_data.mat
    • usmodel_data.xls
    • usmodel_hist_dsge_f19_7_143_mode.mat
    • usmodel_hist_dsge_f19_7_3144_mode.mat
    • usmodel_hist_dsge_f19_7_31_mode.mat
    • usmodel_hist_dsge_f19_7_7158_mode.mat
    • usmodel_hist_dsge_f19_7_71_100_mode.mat
    • usmodel_hist_dsge_f19_7_71_104_mode.mat
    • usmodel_hist_dsge_f19_7_71_108_mode.mat
    • usmodel_hist_dsge_f19_7_71_112_mode.mat
    • usmodel_hist_dsge_f19_7_71_116_mode.mat
    • usmodel_hist_dsge_f19_7_71_120_mode1.mat
    • usmodel_hist_dsge_f19_7_71_124_mode.mat
    • usmodel_hist_dsge_f19_7_71_128_mode.mat
    • usmodel_hist_dsge_f19_7_71_132_mode.mat
    • usmodel_hist_dsge_f19_7_71_136_mode.mat
    • usmodel_hist_dsge_f19_7_71_140_mode.mat
    • usmodel_hist_dsge_f19_7_71_144_mode.mat
    • usmodel_hist_dsge_f19_7_71_148_mode.mat
    • usmodel_hist_dsge_f19_7_71_152_mode.mat
    • usmodel_hist_dsge_f19_7_71_156_mode.mat
    • usmodel_mode.mat
    • usmodel_stst.m
  • 375.14 KB
  • 2023-5-30

  • 纵向与面板数据分析Longitudinal and Panel Data Analysis.rar
       纵向与面板数据分析Longitudinal and Panel Data Analysis

    本附件包括：
    • Lecture 4 Prediction and Bayesian Inference.pdf
    • Lecture 11 Categorical Dependent Variables and Survival Models.pdf
    • Lecture 1 introduction.pdf
    • Lecture 2 Fixed-Effects Models.pdf
    • Lecture 3 Models with Random Effects.pdf
    • Lecture 5 Multilevel Models.pdf
    • Lecture 6 Stochastic Regressors.pdf
    • Lecture 7 Modeling Issues.pdf
    • Lecture 8 Dynamic Models.pdf
    • Lecture 9 Dynamic Models.pdf
    • Lecture 10 Generalized Linear Models.pdf
  • 2.75 MB
  • 2022-12-21

  • DSM6698 Rcode.rar
       R code for data mining for business

    本附件包括：
    • Smarket_Bayes.R
    • Boston_gbm.R
    • Boston_neural.R
    • Boston_rf.R
    • Boston_rf_loop.R
    • Boston_stacking.R
    • Boston_svr.R
    • Boston_tree.R
    • mnist_cnn.R
    • selection_and_regularization.R
    • Smarket_gbm.R
    • Smarket_logistic(1).R
    • Smarket_neural.R
    • Smarket_rf.R
    • Smarket_svm.R
    • Smarket_svm_parameters.R
    • Smarket_tree.R
    • 27-ensemble.Rmd
  • 18.24 KB
  • 2022-6-18

  • Handbook of Econometrics, Volume 1.zip

    本附件包括：
    • Chapter-9-Bayesian-analysis-of-simultaneous-equati_1983_Handbook-of-Economet.pdf
    • Chapter-11-Estimation-for-dirty-data-and-flawed-m_1983_Handbook-of-Econometr.pdf
    • Index_1983_Handbook-of-Econometrics.pdf
    • Chapter-4-Identification_1983_Handbook-of-Econometrics.pdf
    • Chapter-10-Biased-estimation_1983_Handbook-of-Econometrics.pdf
    • Chapter-12-Computational-problems-and-methods_1983_Handbook-of-Econometrics.pdf
    • Chapter-3-Economic-and-econometric-models_1983_Handbook-of-Econometrics.pdf
    • Contents-of-the-handbook_1983_Handbook-of-Econometrics.pdf
    • Introduction-to-the-series_1983_Handbook-of-Econometrics.pdf
    • Preface-to-the-handbook_1983_Handbook-of-Econometrics.pdf
    • Chapter-6-Non-linear-regression-models_1983_Handbook-of-Econometrics.pdf
    • Chapter-5-Model-choice-and-specification-analys_1983_Handbook-of-Econometric.pdf
    • Chapter-2-Statistical-theory-and-econometrics_1983_Handbook-of-Econometrics.pdf
    • Chapter-7-Specification-and-estimation-of-simultaneou_1983_Handbook-of-Econo.pdf
    • Chapter-8-Exact-small-sample-theory-in-the-simultaneo_1983_Handbook-of-Econo.pdf
    • Chapter-1-Linear-algebra-and-matrix-methods-in-eco_1983_Handbook-of-Economet.pdf
    • Contents-of-volume-I_1983_Handbook-of-Econometrics.pdf
  • 34.27 MB
  • 2022-5-4

  • matlab 贝叶斯和通用阈值软阈值图像去噪方法MATLAB程序.rar
       matlab 贝叶斯和通用阈值软阈值图像去噪方法MATLAB程序

    本附件包括：
    • BayesThresh2.m
    • MultiBayes2.m
    • MultiVisu2.m
    • VisuThresh2.m
    • SoftThresh.m
  • 2.01 KB
  • 2022-3-5

  • asab014.pdf
       Optimal post-selection inference for sparse signals: a nonparametric empirical Bayes approach

  • 331.23 KB
  • 2022-3-3

  • BayesianDataAnalysis .zip
       经典贝叶斯数据分析专著

    本附件包括：
    • Bayesian Data Analysis .pdf
    • Bayesian Data Analysis .epub
  • 15.58 MB
  • 2021-6-14

  • 微观计量经济学：方法与应用program.data.output.zip

    本附件包括：
    • bar2.gif
    • ch7dataforboot.dta
    • DATA66.dat
    • DATA66.dct
    • ema1996.asc
    • ema1996.dta
    • mma04p1wls.asc
    • mma04p1wls.do
    • mma04p1wls.txt
    • mma04p2qreg.do
    • mma04p2qreg.txt
    • mma04p3iv.asc
    • mma04p3iv.do
    • mma04p3iv.txt
    • mma04p4ivweak.asc
    • mma04p4ivweak.do
    • mma04p4ivweak.txt
    • mma05data.asc
    • mma05p1mle.do
    • mma05p1mle.txt
    • mma05p2nls.do
    • mma05p2nls.txt
    • mma05p3nlsbyml.do
    • mma05p3nlsbyml.txt
    • mma05p4margeffects.do
    • mma05p4margeffects.txt
    • mma06p1nl2sls.asc
    • mma06p1nl2sls.lim
    • mma06p1nl2sls.out
    • mma06p2Theil.txt
    • mma06p2twostage.do
    • mma06p2twostage.txt
    • mma07p1mltests.asc
    • mma07p1mltests.do
    • mma07p1mltests.txt
    • mma07p2power.do
    • mma07p2power.txt
    • mma07p3montecarlo.do
    • mma07p3montecarlo.txt
    • mma07p4boot.asc
    • mma07p4boot.do
    • mma07p4boot.dta
    • mma07p4boot.txt
    • mma07p4bootreps.dta
    • mma08p1cmtests.asc
    • mma08p1cmtests.do
    • mma08p1cmtests.txt
    • mma08p2nonnested.asc
    • mma08p2nonnested.do
    • mma08p2nonnested.txt
    • mma08p3diagnostics.asc
    • mma08p3diagnostics.do
    • mma08p3diagnostics.txt
    • mma09p1np.asc
    • mma09p1np.do
    • mma09p1np.txt
    • mma09p2npmore.asc
    • mma09p2npmore.do
    • mma09p2npmore.txt
    • mma09p3kernels.asc
    • mma09p3kernels.do
    • mma09p3kernels.txt
    • mma10p1gradient.do
    • mma10p1gradient.txt
    • mma11p1boot.asc
    • mma11p1boot.do
    • mma11p1boot.dta
    • mma11p1boot.txt
    • mma11p1bootreps.dta
    • mma12p1integration.do
    • mma12p1integration.txt
    • mma12p2mslmsm.asc
    • mma12p2mslmsm.do
    • mma12p2mslmsm.txt
    • mma12p3draws.do
    • mma12p3draws.txt
    • mma13p1bayesthm.do
    • mma13p1bayesthm.txt
    • mma13p2bayesgibbs.log
    • mma13p2bayesgibbs.lst
    • mma13p2bayesgibbs.sas
    • mma14p1binary.asc
    • mma14p1binary.do
    • mma14p1binary.txt
    • mma14p2maxscore.lim
    • mma14p2maxscore.out
    • mma15p1mnl.do
    • mma15p1mnl.txt
    • mma15p2gev.do
    • mma15p2gev.txt
    • mma15p3mnl.lim
    • mma15p3mnl.out
    • mma15p4gev.asc
    • mma15p4gev.lim
    • mma15p4gev.out
    • mma16p1tobit.asc
    • mma16p1tobit.do
    • mma16p1tobit.txt
    • mma16p2mills.do
    • mma16p2mills.txt
    • mma16p3selection.asc
    • mma16p3selection.do
    • mma16p3selection.txt
    • mma17p1km.do
    • mma17p1km.txt
    • mma17p2kmextra.do
    • mma17p2kmextra.txt
    • mma17p3weib.do
    • mma17p3weib.txt
    • mma17p4duration.do
    • mma17p4duration.txt
    • mma18p1heterogeneity.do
    • mma18p1heterogeneity.txt
    • mma19p1comprisks.do
    • mma19p1comprisks.txt
    • mma20p1count.asc
    • mma20p1count.do
    • mma20p1count.txt
    • mma21p1panbasic.do
    • mma21p1panfeandre.do
    • mma21p1panfeandre.txt
    • mma21p2panmanual.do
    • mma21p2panmanual.txt
    • mma21p2panresiduals.txt
    • mma21p3panresiduals.do
    • mma21p3panresiduals.txt
    • mma21p4pangls.do
    • mma21p4pangls.txt
    • mma22p1pangmm.do
    • mma22p1pangmm.txt
    • mma23p1pannonlin.do
    • mma23p1pannonlin.txt
    • mma24p1olscluster.do
    • mma24p1olscluster.txt
    • mma24p2poiscluster.do
    • mma24p2poiscluster.txt
    • mma25p1treatment.do
    • mma25p1treatment.txt
    • mma25p2matching.do
    • mma25p2matching.txt
    • mma25p3extra.do
    • mma25p3extra.txt
    • mmadata.html
    • mmaprograms.html
    • mmaprogramsexplain.html
    • MOM.dat
    • MOMprecise.dat
    • NLDATA.ASC
    • nswpsid.da1
    • nswpsid.dta
    • nswre74_all.asc
    • nswre74_control.dta
    • nswre74_treated.dta
    • patr7079.asc
    • probitsimresults.dta
    • propensity_cps.asc
    • propensity_cps.dta
    • psidf3050.dat
    • qreg0902.asc
    • qreg0902.dta
    • randdata.dta
    • readme.txt
    • strkdur.asc
    • strkdur.dta
    • vietnam_ex1.asc
    • vietnam_ex1.dta
    • vietnam_ex2.asc
    • vietnam_ex2.dta
    • xyforsim.dta
  • 3.94 MB
  • 2021-3-6

  • sinha2003.pdf
       A Bayesian justification of Cox’s partial likelihood

  • 153.04 KB
  • 2021-2-18

  • ML_R_tidyverse_mlr_code.zip
       代码

    本附件包括：
    • CH01_INTRO.R
    • CH02_TIDYVERSE.R
    • CH03_INTRO_TO_MLR_AND_KNN.R
    • CH04_LOGISTIC_REGRESSION.R
    • CH05_DISCRIMINANT_ANALYSIS.R
    • CH06_NAIIVE_BAYES_AND_SVMS.R
    • CH07_DECISION_TREES.R
    • CH08_BAGGING_AND_BOOSTING.R
    • CH09_LINEAR_REGRESSION.R
    • CH10_GAMS.R
    • CH11_REGULARIZATION.R
    • CH12_K-NN_AND_TREES_FOR_REGRESSION.R
    • CH13_PCA.R
    • CH14_T-SNE_AND_UMAP.R
    • CH15_SOM_AND_LLE.R
    • CH16_K_MEANS.R
    • CH17_HIERARCHICAL_CLUST.R
    • CH18_DBSCAN_AND_OPTICS.R
    • CH19_MCLUST.R
  • 30.79 KB
  • 2020-7-15

  • statistical-rethinking-bayesian-examples-2nd.rar

    本附件包括：
    • statistical-rethinking-bayesian-examples-2nd.pdf
  • 24.34 MB
  • 2020-6-7

  • BayesiaLab9_1_JRE_64.zip
       BayesiaLab

    本附件包括：
    • BayesiaLab9_1_JRE_64 (1).exe
  • 99.68 MB
  • 2020-2-26

  • 9780199559084.The Oxford Handbook of Bayesian Econometrics.rar

    本附件包括：
    • oxfordhb-9780199559084-e-10.pdf
    • oxfordhb-9780199559084-e-9.pdf
    • oxfordhb-9780199559084-e-8.pdf
    • oxfordhb-9780199559084-e-7.pdf
    • oxfordhb-9780199559084-e-6.pdf
    • oxfordhb-9780199559084-e-5.pdf
    • oxfordhb-9780199559084-e-4.pdf
    • oxfordhb-9780199559084-e-3.pdf
    • oxfordhb-9780199559084-e-1.pdf
    • oxfordhb-9780199559084-e-2.pdf
  • 11.68 MB
  • 2019-10-21

  • Bayesian Statistics for Beginners- a step-by-step approach.pdf.zip
       PDF file

    本附件包括：
    • Bayesian Statistics for Beginners- a step-by-step approach.pdf
  • 40.93 MB
  • 2019-10-4

  • Advances in Economic Theory Vol1.rar

    本附件包括：
    • 6 - Implementation in Bayesian equilibrium the multiple equilibrium problem in mechanism design.pdf
    • 1 - Foundations of game theory.pdf
    • 5 - Implementation, contracts, and renegotiation in environments with complete information.pdf
    • 4 - Repeated games cooperation and rationality.pdf
    • 3 - Explaining cooperation and commitment in repeated games.pdf
    • 2 - Refinements of Nash equilibrium.pdf
  • 16.36 MB
  • 2019-9-17

  • [James_O._Berger]_Statistical_Decision_Theory_and_(z-lib.org).zip
       Statistical Decision Theory and Bayesian Analysis

    本附件包括：
    • [James_O._Berger]_Statistical_Decision_Theory_and_(z-lib.org).djvu
  • 6.74 MB
  • 2019-4-8

  • Applied Bayesian Forecasting and Time Series Analysis-Springer US (1994) - Andy .rar
       Bayesian Forecasting

    本附件包括：
    • Andy Pole, Mike West, Jeff Harrison (auth.) - Applied Bayesian Forecasting and Time Series Analysis-Springer US (1994).pdf
  • 10.1 MB
  • 2019-3-5

  • Modeling Analysts’ Recommendations via Bayesian Machine Learning.zip

    本附件包括：
    • Modeling Analysts’ Recommendations via Bayesian Machine Learning.pdf
  • 2.04 MB
  • 2019-2-14

  • 论文.rar

    本附件包括：
    • A Bayesian regularized artificial neural network for stock market forcasting.pdf
    • CAST Using neural networks to improve trading systems based on technical analysis by means of the RSI financial indicator.pdf
    • CAST- Using neural networks to improve trading systems based on technical analysis by means of the RSI financial indicator.docx
    • Combining multiple feature selection methods for stock prediction_ Union, intersection, and multi-intersection approaches.pdf
    • Correlating Financial Time Series with Micro-Blogging Activity.pdf
    • Deep learning for event-driven stock prediction..pdf
    • Deep Learning for Event-Driven Stock Prediction.docx
    • Deep Learning Networks for Stock Market Analysis and Prediction_ Methodology, Data Representations, and Case Studies.pdf
    • Design and Application of Artificial Neural Networks for Predicting the Values of Indexes on the Bulgarian Stock Market.pdf
    • Do Funds Make More When They Trade More.pdf
    • Financial Time Series Segmentation Based On Turning Points.pdf
    • High Frequency Trading and Extreme Price Movements_.pdf
    • High-frequency trading strategies.pdf
    • how to design targetdate funds.pdf
    • Improving Financial Time Series Prediction Using Exogenous Series and Neural Networks Committees.pdf
    • Measuring Skill in the Mutual Fund Industry.pdf
    • Risk and Return in High-Frequency Trading .pdf
    • A fuzzy rule based expert system for stock evaluation and portfolio construction_ An application to Istanbul Stock Exchange .pdf
    • A method for automatic stock trading combining technical analysis and nearest neighbor classification.pdf
    • A novel text mining approach to financial time series forecasting.pdf
    • A prediction scheme using perceptually important points and dynamic time warping.pdf
    • An Autonomous Trader Agent for the Stock Market Based on Online Sequential Extreme Learning Machine Ensemble.docx
    • An autonomous trader agent for the stock market based on online sequential extreme learning machine ensemble.pdf
    • An empirical methodology for developing stockmarket trading systems using arti cial neural networks.pdf
    • An intraday market risk management approach based on textual analysis.pdf
    • Application of support vector machines in financial time 1899 series forcasting.pdf
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  • 2019-1-26

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       经典教材

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    • Doing_Bayesian_Data_Analysis_－_Solutions_Manua.pdf
    • Exercise Solutions for Bayesian Data Analysis.pdf
  • 36.36 MB
  • 2019-1-20

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    • (2014)Bayesian Essentials with R__2nd__Jean-Michel Marin, Christian P. Robert.pdf
  • 6.03 MB
  • 2018-11-4

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  • 2.5 MB
  • 2018-11-4

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  • 2.72 MB
  • 2018-11-4

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    • (2007)The Bayesian Choice_Christian P. Robert.pdf
  • 4.93 MB
  • 2018-11-4

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    • (2007)Bayesian Core_A Practical Approach to Computational Bayesian Statistics_Jean-Michel Marin, Christian Robert.pdf
  • 7.68 MB
  • 2018-11-4

  • (2006)An Introduction to Bayesian Analysis_ Theory and Methods_Jayanta K. Ghosh,.rar

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    • (2006)An Introduction to Bayesian Analysis_ Theory and Methods_Jayanta K. Ghosh, Mohan Delampady, Tapas Samanta.pdf
  • 4.08 MB
  • 2018-11-4

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    • Bayesian Speech and Language Processing - Shinji Watanabe.pdf
    • Bayesian Speech and Language Processing - Shinji Watanabe.azw3
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  • 2018-8-30

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       实证宏观经济学：贝叶斯多元时间序列方法

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  • 2018-8-6

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    • art.m
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    • linearsvm.m
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    • mexicanhat.m
    • mulms.m
    • nonlinearsvm.m
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    • steepestdescent.m
  • 24.84 KB
  • 2018-7-21

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  • 23.91 MB
  • 2018-6-13

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  • 1.25 MB
  • 2018-5-1

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    • 15_revision(1).pdf
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