PinnedRoman PaolucciinTowards Data ScienceModeling Dependent Random Variables Using Markov ChainsCorrecting violations of independence with dependent models·15 min read·Feb 23, 2024--1--1
PinnedRoman PaolucciinTowards Data ScienceMaximum Likelihood Estimation of Parameters for Random VariablesModeling parameters by highest likelihood of observing data·11 min read·Dec 10, 2023--1--1
PinnedRoman PaolucciinTowards Data ScienceApplied Statistical Moments and Moment-Generating FunctionsMotivation, definition, and applications·9 min read·Jan 22, 2024----
Roman PaolucciinQuant GuildProbabilities of Arbitrary Transitions by Chapman-Kolmogorov EquationsDiscrete Homogenous or Stationary Markov Chains·9 min read·Feb 12, 2024----
Roman PaolucciinQuant GuildExecutive Compensation DataFinancial Modeling Prep’s Executive Compensation Data·6 min read·Jan 25, 2024----
Roman PaolucciinQuant GuildIntuition Behind the Law of Large Numbers and Central Limit TheoremPrimary Notion and Applications in Probability Estimation·6 min read·Dec 15, 2023----
Roman PaolucciinQuant GuildStockTwits’ Social Sentiment and Financial Analyst RecommendationsFinancial Modeling Prep’s Analyst Recs and Social Sentiment·8 min read·Nov 30, 2023----
Roman PaolucciinQuant GuildPredicting Stock Returns using StockTwits’ Social SentimentFinancial Modeling Prep’s Historic Social Sentiment·7 min read·Nov 25, 2023----
Roman PaolucciinQuant GuildThe Finite Difference MethodFirst-Order Forward Difference Approximations·6 min read·Nov 22, 2023--1--1
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…1 min read·Nov 7, 2023----