Thought Leadership

Articles

Exploring the intersection of valuation science, artificial intelligence, data science, and the evolving landscape of real estate.

The Appraisal Journal · Volume 93, Issue 3-4 | 2025

Sitting on the Dock of the Bayes
Applying Bayesian Methods to Modern Real Estate Appraisal

This article introduces Bayesian inference as a formal framework for incorporating professional judgment and uncertainty into real estate valuation, moving beyond deterministic point estimates toward probability-based conclusions. Through practical examples, it demonstrates how Bayesian updating can improve reconciliation, defensibility, and communication of risk in both residential and commercial appraisal assignments.

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The Appraisal Journal · Volume 93, Issue 1 | 2025

The Tenant is Not the Property

This article analyzes how tenant creditworthiness and lease structure can materially affect the value of a leased fee interest without altering the intrinsic value of the underlying real estate. By examining credit tenant definitions, bondable leases, and rating agency methodologies, the authors emphasize the necessity for appraisers to clearly distinguish real estate value from contract-derived value embedded in lease agreements.

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Journal of the ASFMRA · 2025

Cultivating Precision: Integrating Generative AI into Rural and Agricultural Property Valuation

Synthesizes real-world case studies showing how generative AI can improve efficiency, enhance market condition analysis, and uncover valuation insights that are difficult to detect using traditional methods alone. The article underscores that ethical oversight and professional judgment remain central, positioning AI as a powerful support tool that strengthens, rather than supplants, the appraiser’s role.

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Mid-South ASFMRA Land Values and Lease Trends Report · 2025

Artificial Intelligence in Agriculture: Evolution and Opportunity

Explains how artificial intelligence is already transforming agricultural decision-making by augmenting, rather than replacing, professional judgment. Through practical examples in valuation, risk assessment, and farm management, the article emphasizes that the greatest value of AI lies in combining advanced analytics with localized expertise and human insight.

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Valuation · Volume 29, Issue 4 | 2024

Draw more from your data

This article argues that recent changes to Fannie Mae market condition requirements demand more rigorous, data-backed analysis and clearer communication of valuation conclusions. The article demonstrates how statistical software such as R enables appraisers to translate complex market dynamics into defensible, visually compelling evidence that enhances transparency and credibility in residential appraisal practice.

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The Appraisal Journal · Volume 92, Issue 1-2 | 2024

Navigating Ethical Frontiers
Real Estate Apppraisal in the Age of Artifical Intelligence

This article examines the ethical risks and responsibilities associated with the growing use of artificial intelligence in real estate appraisal, with particular emphasis on bias, transparency, data quality, privacy, and the preservation of human judgment. It argues that while AI tools can materially enhance efficiency and analytical capability, appraisers must actively manage ethical considerations to ensure credible, fair, and professionally defensible valuation outcomes.

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Book · 2024

The Generative Shift

Preparing appraisers for the integration of artificial intelligence models into valuation practice. A practical guide to understanding, evaluating, and responsibly adopting generative AI tools.

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