Radford University
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Welcome to my Homepage
I am an Associate Professor of Statistics at Radford University in Virginia, USA. My research interests and expertise span the foundations and frontiers of statistical science, with a particular focus on the philosophy of statistical inference, Bayesian–frequentist controversies, hypothesis testing paradoxes, and the evolving landscape of data science and machine learning. My work bridges classical and modern perspectives—ranging from maximum likelihood and credible intervals to deep learning, semiparametric modeling, and statistical ethics—while also engaging with broader themes such as statistics education, the replication crisis, computational tools, and the historical and societal impact of statistical thinking.
International Encyclopedia of Statistical Science (Second Edition)
The Second Edition of this landmark publication has now been officially released by Springer.
It encompasses the work of 700 eminent authors from 110 countries—an expansion of the already
historic first edition, which featured contributions from 617 authors representing 105 countries.
The first edition was highlighted in the official journal of the
American Statistical Association,
AMSTAT News (June 2011), as the largest international scientific project ever implemented
in history ("Peace through Statistics", p.14).
The second edition spans 3,150 pages across four volumes and introduces
80 new contributors and 5 additional countries, further solidifying
its role as a global reference in the statistical sciences. It includes newly commissioned entries,
expanded methodological coverage, and greater diversity in both topics and contributors.
Notably, three undergraduate students from Radford University's Artis College of Science and Technology
co-authored a chapter in this edition—an extraordinary accomplishment that reflects our strong
emphasis on undergraduate research and global engagement in scholarship.
For more information on this extraordinary project, please visit:
https://link.springer.com/book/9783662693582
Support from All Over the World for the Nobel Peace Prize Nomination
Global Participation in the International Encyclopedia of Statistical Science (2nd Ed.)
The interactive map below highlights the countries represented by the 700 contributors (110 countries) in the Second Edition.
Hover for country names • Drag to pan • Scroll to zoom • Projection toggle available.
Education
I hold a Ph.D. in Statistical Sciences, M.Sc. in Statistics, and a B.Econ. in Statistics and Cybernetics from the University of Belgrade, Serbia. My qualifications are recognized internationally, including by the New Zealand Qualifications Authority and the University of São Paulo in Brazil.
Research Interests
- Philosophy of statistical inference
- Bayesian vs. frequentist controversies
- Paradoxes in statistical testing (e.g., Jeffreys-Lindley Paradox)
- History and future of statistics education
- Statistical software and computational methods
- Data Science, Big Data, and simulation
- Nonparametric and robust statistical methods
Professional Overview
2022.8 - Present: Associate Professor,
Radford University, VA, USA
2018 - 2022.4: Assistant Professor,
Radford University, VA, USA
2009.1 - 2013.6 & 2014.7 - 2017.7: Professor in Statistics,
University of Kragujevac, Serbia
2013.7 - 2014.6: Visiting Professor in Statistics,
University of Pernambuco, Recife, Brazil
2002.1 - 2008.12: Professor in Statistics,
University of Belgrade, Serbia
1998.5 - 2001.12: Lecturer Level B,
University of South Australia, Adelaide, Australia
1996.5 - 1998.4: Senior Lecturer, Wellington Polytechnic (now part of
Massey University), Wellington, New Zealand
1995.3 - 1996.4: Lecturer,
Open Polytechnic of New Zealand, Lower Hutt, New Zealand
Teaching
I have taught a wide range of statistical courses in several countries, focusing on both the theoretical foundations of statistics and practical applications using modern software tools. Over the years, I have developed and taught courses that cater to various disciplines and levels of expertise, including:
- Bayesian Statistics (developed in Fall 2024)
- Statistics for Nursing (developed in Fall 2024)
- Statistics and Probability 1 (STAT 301)
- Statistics and Probability 2 (STAT 302)
- Applied Statistics (MATH 644, postgraduate course for math teachers in Virginia)
- Understanding Statistics in Society (STAT 130)
- Introduction to Statistics (STAT 200)
Memorable Collaboration with Professor C.R. Rao
I was honored to meet and collaborate with Professor C.R. Rao, one of the most eminent statisticians
of the past 60 years. Professor Rao, a pioneer whose groundbreaking contributions have shaped
the course of modern statistical theory, invited me to Hyderabad, India, to present a speech titled
"The Future of Statistics" on the first
World Statistics Day (October 20, 2011).
He entrusted me to chair the conference, which was part of a global celebration marked in over
130 countries.
In addition to this memorable event, I had the privilege of co-authoring a joint research paper
with Professor Rao:
"Testing Point Null Hypothesis of a Normal Mean and the Truth: 21st Century Perspective."
This work was published as the lead article in the November 2016 issue of the
Journal of Modern Statistical Methods (Vol. 16, No. 2). It exemplifies the synergy of our
combined efforts and the intellectual rigor that Professor Rao brought to every collaboration.
Professor Rao’s passing in August 2023 marked the end of an era, but his intellectual legacy
endures. His visionary leadership and vast contributions continue to guide and inspire
statisticians worldwide. I remain deeply grateful for the opportunity to learn from him,
to contribute to global dialogues on the future of our discipline, and to produce scholarly
work together that will influence current and future generations of statisticians.
Forthcoming Publications in the Second Edition of the International Encyclopedia of Statistical Science (2025)
The following articles will appear (among 782 others) in the second edition of the International Encyclopedia of Statistical Science, Springer, Heidelberg, scheduled for publication in June 2025. This new edition reflects contemporary topics, theoretical advancements, and practical approaches in statistical science.
- Miodrag M. Lovric (2025). Bayes Factor. p. 145-157.
- Miodrag M. Lovric (2025). Beyond the Horizon: A Statistical Odyssey in the Quest for Extraterrestrial Life. p. 263-275.
- Miodrag M. Lovric (2025). Careers in Statistics and How to Encourage Them. p. 400-404.
- Miodrag M. Lovric (2025). Credible Intervals. p. 573-587.
- Miodrag M. Lovric (2025). Deciphering Life’s Origins: A Statistical Odyssey in Evolution vs. Intelligent Design. p. 638-652.
- Miodrag M. Lovric (2025). Deep Learning: an Overview. p. 663-674.
- Miodrag M. Lovric (2025). Generalized Quasi-Likelihood (GQL) Inferences, On: A Follow-up Note. p. 1056-1058.
- Miodrag M. Lovric (2025). Jeffreys–Lindley Paradox. p. 1273-1280.
- Miodrag M. Lovric (2025). Linear Mixed Models: an Overview. p. 1356-1374.
- Miodrag M. Lovric (2025). Maximum Likelihood: Theoretical Foundations and Practical Applications. p. 1421-1428.
- Miodrag M. Lovric (2025). Navigating the Ethical Terrain: Principles and Practices in Machine Learning. p. 1659-1671.
- Miodrag M. Lovric (2025). Navigating the Replication Crisis in Science: Striving for Solutions. p. 1671-1679.
- Miodrag M. Lovric (2025). Python Unveiled: Bridging Simplicity and Innovation in Modern Computing. p. 2035-2041.
- Miodrag M. Lovric (2025). Rao–Lovric Theorem and the Paradigm Shift in Hypothesis Testing. p. 2110-2119.
- Miodrag M. Lovric (2025). Reevaluating One-Sided Null Hypotheses: Identifying and Avoiding Common Pitfalls. p. 2146-2151.
- Miodrag M. Lovric (2025). Resolution of the Jeffreys–Lindley Paradox via Interval Null Hypotheses. p. 2182-2184.
- Miodrag M. Lovric (2025). Unveiling the Integral Role of Statistical Inference in Scientific Advancements: A Comprehensive Rebuttal. p. 2853-2862.
- Lovric, M. & Bener, A. (2025). Variance – The Notion and Applications in Science and Real Life. p. 2876-2880.
- Lovric, M. & Xia, Y. (2025). Semiparametric Regression Models. p. 2274-2277.
- Sahai, A. & Lovric, M. (2025). The Role of Statistics. p. 2219-2225.
- Chamberlain, R.R., Ross, M.W., Long, C.C. & Lovric, M. (2025). The P-Value Chronicles: Unmasking Fourteen Widespread Misconceptions. p. 2006-2024.
- Zhang, C., Wang, K., Tsung, F., & Lovric, M. (2025). Big Data: Concepts, Applications, and Challenges. p. 285-306.
- Yu, C.H. & Lovric, M. (2025). Data Science, Data Mining, Machine Learning, Big Data and Statistics. p. 623-627.
- Hildenbrand, C.D. & Lovric, M. (2025). Empowering Statistical Learning: Decision Trees and R Templates in Applied Statistics. p. 816-826.
- Ng, H.K.T. & Lovric, M. (2025). Statistical Methods in Epidemiology. p. 2520-2529.
- de Leeuw, J. & Lovric, M. (2025). Statistical Software – An Overview. p. 2588-2594.
- Sheynin, O. & Lovric, M. (2025). History of Statistics. p. 1130-1144.
- Seidel, W. & Lovric, M. (2025). Mixture Models: Theory, Estimation, and Recent Advances. p. 1494-1499.
- Spöck, G., Pilz, J. & Lovric, M. (2025). Analysis of Areal and Spatial Interaction Data. p. 58-64.
- Rathie, P.N., Ozelim, L.C.S.M. & Lovric, M. (2025). Normal Distribution: Properties, Importance, and Applications. p. 1771-1777,
Selected Publications & Projects
- International Encyclopedia of Statistical Science, Editor-in-Chief (Springer, first edition 2010, second edition forthcoming)
- Books and chapters on nonparametric inference, data analysis, and statistical methods
- Selected peer-reviewed articles:
- Miodrag M. Lovric (2020).
"Conflicts in Bayesian Statistics Between Inference Based on Credible Intervals and Bayes Factors"
.
Journal of Modern Applied Statistical Methods, Vol. 18, Iss. 1 (Invited article).
- Miodrag M. Lovric (2020).
"On the Notion, Relevance, and Solution of the Jeffreys-Lindley Paradox in the Zettabyte Era"
.
Journal of Modern Applied Statistical Methods, Vol. 18, Iss. 1 (Invited article).
- Rao, C.R. and M. M. Lovric (2016).
"Testing Point Null Hypothesis of a Normal Mean and the Truth: 21st Century Perspective."
Journal of Modern Applied Statistical Methods, Vol. 15, Iss. 2, Article 3 (Invited, leading paper),
DOI: 10.22237/jmasm/1478001660.
- Various collaborative projects and consulting engagements in statistical system design and data analysis solutions
Invited Seminars and Some Other Recent International Presentations
I have delivered a series of research seminars and invited talks at universities and conferences
across New Zealand, Australia, and the United States. These presentations have focused on
statistical controversies, paradoxes, and the evolving nature of hypothesis testing and inference
in the 21st century.
- UNC Greensboro, USA: "Rethinking Statistical Inference: Moving from Point—Null Hypotheses to Interval—Based Approaches in the Wake of the Rao—Lovric Theorem" (12 October 2024)
- Radford University, USA: “Demise of Traditional Significance Tests?” (10 April 2019)
- Illinois Institute of Technology, USA: “Fueling Innovations: Controversies of Statistical Testing in Science” (21 February 2017)
- University of Canterbury, New Zealand: “On the Reconciliation Between Frequentist and Bayesian Approaches to Statistical Testing” (11 August 2016)
- Victoria University of Wellington, New Zealand: “On the Resolution of Controversies and Paradoxes in Statistical Testing” (28 June 2016)
- Waikato University, New Zealand: “On the Deficiencies of Statistical Testing in Science” (15 April 2016)
- University of New South Wales, Australia: "On the Final Resolution of the Famous Jeffreys-Lindley Paradox and a New Paradigm in Statistical Testing" (8 April 2016)
- University of Auckland, New Zealand: “Is There a Statistical Crisis in Science?” (23 March 2016)
- Massey University, Palmerston North, New Zealand: “On the Future of Statistics in the 21st Century” (March 2016)
- Paradoxes and Controversies in Hypothesis Testing, Conference in Natal, Brazil, Semana da Estatística - UFRN 2013
(Video Recording)
Memories and Colleagues from Around the World
Over the course of my academic journey, I have had the opportunity to work with and learn from
many outstanding colleagues in various countries. Although I currently serve as an Associate
Professor of Statistics at Radford University, these images remind me of the diverse academic
communities that have shaped my career.
Radford University Department of Mathematics and Statistics (August 2018)
This image showcases the faculty members at the Department of Mathematics and Statistics at
Radford University as of August 2018, when I joined the institution.
Faculty of Economics, University of Belgrade, Serbia
These photos capture some of my dear colleagues from the Faculty of Economics at the University
of Belgrade, Serbia, where I studied and worked from 1980 to 1994, and again from 2001 to 2009
after returning from Australia. This period laid the foundations of my career in statistical
science and academic leadership.
Contact and Further Information
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