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Real Estate Tech: Evolving Predictive Models
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Real estate tech debate revolves around frequentist vs. Bayesian statistics, emphasizing the need for evolving predictive models. Leading funds invest in advanced tools and data science teams, incorporating alternative variables to impact rent growth and valuation drivers.
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How might the shift towards Bayesian statistics in real estate tech impact the accuracy of forecasting models?
In what ways can the evolution of predictive models in real estate tech influence the broader real estate market?
What are the potential risks associated with incorporating alternative variables in forecasting models?
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