PinnedRoman PaolucciinTowards Data ScienceModeling Dependent Random Variables Using Markov ChainsCorrecting violations of independence with dependent modelsFeb 231Feb 231
PinnedRoman PaolucciinTowards Data ScienceMaximum Likelihood Estimation of Parameters for Random VariablesModeling parameters by highest likelihood of observing dataDec 10, 20231Dec 10, 20231
PinnedRoman PaolucciinTowards Data ScienceApplied Statistical Moments and Moment-Generating FunctionsMotivation, definition, and applicationsJan 22Jan 22
Roman PaolucciinQuant GuildProbabilities of Arbitrary Transitions by Chapman-Kolmogorov EquationsDiscrete Homogenous or Stationary Markov ChainsFeb 12Feb 12
Roman PaolucciinQuant GuildExecutive Compensation DataFinancial Modeling Prep’s Executive Compensation DataJan 25Jan 25
Roman PaolucciinQuant GuildIntuition Behind the Law of Large Numbers and Central Limit TheoremPrimary Notion and Applications in Probability EstimationDec 15, 2023Dec 15, 2023
Roman PaolucciinQuant GuildStockTwits’ Social Sentiment and Financial Analyst RecommendationsFinancial Modeling Prep’s Analyst Recs and Social SentimentNov 30, 2023Nov 30, 2023
Roman PaolucciinQuant GuildPredicting Stock Returns using StockTwits’ Social SentimentFinancial Modeling Prep’s Historic Social SentimentNov 25, 20231Nov 25, 20231
Roman PaolucciinQuant GuildThe Finite Difference MethodFirst-Order Forward Difference ApproximationsNov 22, 20231Nov 22, 20231
Roman PaolucciThis is not the correct interpretation.There is nothing special about the range of numbers in a given sample's confidence interval, but rather that the range may contain the…Nov 7, 2023Nov 7, 2023
