Statistical Consulting for Complex Problems
Optimal Statistics provides specialist statistical and quantitative consulting for problems where rigorous analysis matters. We combine statistical modelling, research design and modern computational methods to extract useful information from complex data and support better decisions.
Our approach is practical and evidence-based: understand the problem, identify the information that matters, select the appropriate statistical methods, test the results and communicate the conclusions clearly.
Our Consulting Services
Research & Experimental Design
Design efficient experiments, surveys and research programs that extract the maximum useful information from available data and resources. Services include experimental design, sampling, power analysis, questionnaire design and statistical inference.
Predictive Modelling
Develop, test and validate statistical and machine-learning models for forecasting, classification and decision support. Particular attention is given to out-of-sample performance, calibration, model stability and the distinction between genuine predictive information and historical fit.
Data Quality & Record Linkage
Identify errors, inconsistencies, duplicates and related records in complex datasets. Probabilistic matching and statistical record-linkage methods can recover information that simple deterministic matching techniques miss.
Financial & Risk Modelling
Apply quantitative methods to financial markets, investment strategies, forecasting and risk. This includes model development and validation, benchmark construction, signal analysis, portfolio research and the measurement of risk-adjusted performance.
Evidence Before Assumption
The most sophisticated model is not necessarily the best model. We favour methods that can be tested, understood and demonstrated to work on the problem at hand.
Have a difficult statistical or quantitative problem?
Contact Optimal Statistics to discuss the project.