Maximum Likelihood Estimation
/ˈmæksɪməm ˈlaɪk.li.hʊd ˌɛstɪˈmeɪʃən/
noun … “finding the parameters that make your data most believable.”
Singular Value Decomposition
/ˈsɪŋ.ɡjʊ.lər ˈvæl.ju dɪˌkɑːm.pəˈzɪʃ.ən/
noun … “disassembling a matrix into its hidden building blocks.”
Fourier Transform
/ˈfʊr.i.ɛr ˌtrænsˈfɔːrm/
noun … “the secret language of frequencies.”
Stationarity
/ˌsteɪ.ʃəˈnɛr.ɪ.ti/
noun … “when time stops twisting the rules of a system.”
Autocorrelation
/ˌɔː.toʊ.kəˈreɪ.ʃən/
noun … “how the past whispers to the present.”
Autocorrelation is a statistical measure that quantifies the correlation of a signal, dataset, or time series with a delayed copy of itself over varying lag intervals. It captures the degree to which current values are linearly dependent on past values, revealing repeating patterns, trends, or temporal dependencies. Autocorrelation is widely used in time-series analysis, signal processing, econometrics, and machine learning to detect seasonality, persistence, and memory effects in data.
Stochastic Process
/stoʊˈkæs.tɪk ˈproʊ.ses/
noun … “a story told by randomness over time.”
Variance
/ˈvɛər.i.əns/
noun … “how wildly values dance around their mean.”
Expectation Value
/ˌɛk.spɛkˈteɪ.ʃən ˈvæl.juː/
noun … “the long-run average of chance.”
Random Variable
/ˈræn.dəm ˈveə.ri.ə.bəl/
noun … “a number that dances with chance.”
Probability Distribution
/prəˌbæb.əˈlɪ.ti dɪs.trɪˈbjuː.ʃən/
noun … “the blueprint of uncertainty.”