Catastrophe theory : Catastrophe theory is a branch of mathematics that deals with the sudden, drastic changes in the behavior of systems. It was first developed by mathematician Rene Thom in the 1960s and has since been applied to various fields such as physics, engineering, economics, and social sciences. Catastrophe theory is based on the […]

Case-Control Study : A case-control study is a type of observational study commonly used in epidemiology to identify potential risk factors for a specific disease or condition. In a case-control study, the investigator selects a group of individuals with the disease or condition (cases) and a group of individuals without the disease or condition (controls), […]

Case-cohort Study : A case-cohort study is a type of observational study in which a subset of individuals from a larger population, known as the cohort, are selected for analysis. The subset consists of individuals who have developed a specific outcome of interest, known as cases, and a random sample of individuals from the cohort […]

Cascaded Parameters : Cascaded parameters refer to the process of passing parameters or values from one function or module to another, creating a chain or cascade of dependencies. This is often used in programming to break down complex tasks into smaller, more manageable pieces and to allow for reusability of code. For example, consider a […]

Cartogram : A cartogram is a type of map that uses a statistical variable, such as population or GDP, to distort the size and shape of geographic regions in order to better represent the variable of interest. The resulting map is a spatial representation of the variable, with larger regions indicating higher values and smaller […]

CART : CART, or Classification and Regression Trees, is a popular method for conducting machine learning and predictive modeling. It is a type of decision tree that can be used to predict a categorical response variable based on a set of predictor variables. CART is a widely used technique in data mining and predictive modeling […]

Coarsening At Random : Coarsening at random is a technique used in the field of computer science, particularly in the domain of graph algorithms. It involves simplifying a complex graph by merging together or “coarsening” pairs of vertices in the graph. This can be useful in a number of scenarios, such as reducing the size […]

Capture- Recapture Sampling : Capture-recapture sampling is a statistical method used to estimate the size of a population. It is commonly used in ecology to estimate the number of animals in a particular area. The basic idea behind capture-recapture sampling is to capture a sample of the population, mark those individuals, and then release them […]

Canonical Correlation Analysis : Canonical Correlation Analysis (CCA) is a statistical technique that is used to investigate the relationship between two sets of variables. CCA is often used in psychology and other social sciences to study the relationship between psychological constructs, such as personality traits and cognitive abilities, or between behavior and environmental factors. In […]

Calendarization : Calendarization/benchmarking is the process of converting a stream of future cash flows, whether from an investment or an asset, into equivalent amounts at a specific point in time. This allows for a more accurate comparison of different investments or assets. For example, let’s say an investor is considering two different investment options: a […]