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Time Series Analysis
Time Series Analysis
.
Explore 26 formal proofs and analytical renders within the discipline of Time Series Analysis.
Intermediate
Proof that Autocovariance Depends Only on Lag for Weakly Stationary Processes
Exploring the cinematic intuition of Proof that Autocovariance Depends Only on Lag for Weakly Stationary Processes.
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Foundational
Derivation of the Autocorrelation Function (ACF) for a White Noise Process
Exploring the cinematic intuition of Derivation of the Autocorrelation Function (ACF) for a White Noise Process.
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Intermediate
Proof of the Stationarity Condition for an AR(1) Process (|φ| < 1)
Exploring the cinematic intuition of Proof of the Stationarity Condition for an AR(1) Process (|φ| < 1).
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Intermediate
Proof of the Invertibility Condition for an MA(1) Process (|θ| < 1)
Exploring the cinematic intuition of Proof of the Invertibility Condition for an MA(1) Process (|θ| < 1).
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Intermediate
Derivation of the Mean for a Stationary AR(1) Process
Exploring the cinematic intuition of Derivation of the Mean for a Stationary AR(1) Process.
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Intermediate
Derivation of the Variance for a Stationary AR(1) Process
Exploring the cinematic intuition of Derivation of the Variance for a Stationary AR(1) Process.
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Advanced
Full Derivation of the Yule-Walker Equations for a General AR(p) Process
Exploring the cinematic intuition of Full Derivation of the Yule-Walker Equations for a General AR(p) Process.
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Advanced
Solving Yule-Walker Equations to Derive ACF Values for an AR(2) Model
Exploring the cinematic intuition of Solving Yule-Walker Equations to Derive ACF Values for an AR(2) Model.
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Advanced
Derivation of the Partial Autocorrelation Function (PACF), specifically \( \phi_{22} \), for an AR(2) Model
Exploring the cinematic intuition of Derivation of the Partial Autocorrelation Function (PACF), specifically
ϕ
22
\phi_{22}
ϕ
22
, for an AR(2) Model.
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Intermediate
Derivation of the Autocorrelation Function (ACF) for an MA(q) Process, demonstrating its Cut-off Property
Exploring the cinematic intuition of Derivation of the Autocorrelation Function (ACF) for an MA(q) Process, demonstrating its Cut-off Property.
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Advanced
Derivation of the Partial Autocorrelation Function (PACF) for an AR(p) Process, demonstrating its Cut-off Property
Exploring the cinematic intuition of Derivation of the Partial Autocorrelation Function (PACF) for an AR(p) Process, demonstrating its Cut-off Property.
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Intermediate
Derivation of the Infinite MA Representation ($Z_t = \sum \psi_j a_{t-j}$) for a Stationary AR(1) Process
Exploring the cinematic intuition of Derivation of the Infinite MA Representation (
Z
t
=
∑
ψ
j
a
t
−
j
Z_t = \sum \psi_j a_{t-j}
Z
t
=
∑
ψ
j
a
t
−
j
) for a Stationary AR(1) Process.
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Advanced
Proof of the Asymptotic Chi-Squared Distribution of the Ljung-Box Test Statistic
Exploring the cinematic intuition of Proof of the Asymptotic Chi-Squared Distribution of the Ljung-Box Test Statistic.
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Advanced
Derivation of the Method of Moments Estimators for an AR(1) Model with a Constant Term
Exploring the cinematic intuition of Derivation of the Method of Moments Estimators for an AR(1) Model with a Constant Term.
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Advanced
Proof that the Minimum Mean Squared Error (MMSE) Forecast is the Conditional Expectation
Exploring the cinematic intuition of Proof that the Minimum Mean Squared Error (MMSE) Forecast is the Conditional Expectation.
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Intermediate
Derivation of the Explicit Formula for the l-step Ahead Forecast \( \hat{Z}_t(l) \) for a Stationary AR(1) Model
Exploring the cinematic intuition of Derivation of the Explicit Formula for the l-step Ahead Forecast
Z
^
t
(
l
)
\hat{Z}_t(l)
Z
^
t
(
l
)
for a Stationary AR(1) Model.
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Advanced
Derivation of the Variance of the l-step Ahead Forecast Error for an AR(1) Model
Exploring the cinematic intuition of Derivation of the Variance of the l-step Ahead Forecast Error for an AR(1) Model.
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Advanced
Derivation of the Formula for a 95% Prediction Interval for an AR(1) Forecast
Exploring the cinematic intuition of Derivation of the Formula for a 95% Prediction Interval for an AR(1) Forecast.
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Intermediate
Proof that First Differencing Transforms a Random Walk into a Stationary Process
Exploring the cinematic intuition of Proof that First Differencing Transforms a Random Walk into a Stationary Process.
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Advanced
Formal Proof of the General Invertibility Condition for an MA(q) Process (Roots of Characteristic Polynomial)
Exploring the cinematic intuition of Formal Proof of the General Invertibility Condition for an MA(q) Process (Roots of Characteristic Polynomial).
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Advanced
Derivation of the Infinite AR Representation and $\pi$-weights for an Invertible MA(q) Process
Exploring the cinematic intuition of Derivation of the Infinite AR Representation and
π
\pi
π
-weights for an Invertible MA(q) Process.
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Advanced
Derivation of the Autocorrelation Function (ACF) for a Mixed ARMA(1,1) Process
Exploring the cinematic intuition of Derivation of the Autocorrelation Function (ACF) for a Mixed ARMA(1,1) Process.
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Advanced
Derivation of the Variance of the l-step Ahead Forecast Error for a General ARMA(p,q) Process
Exploring the cinematic intuition of Derivation of the Variance of the l-step Ahead Forecast Error for a General ARMA(p,q) Process.
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Advanced
Proof that a Logarithmic Transformation Stabilizes Variance when Standard Deviation is Proportional to Mean
Exploring the cinematic intuition of Proof that a Logarithmic Transformation Stabilizes Variance when Standard Deviation is Proportional to Mean.
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Intermediate
Calculation of the First Few \(\psi\)-weights for a Specific ARMA(1,1) Model
Exploring the cinematic intuition of Calculation of the First Few
ψ
\psi
ψ
-weights for a Specific ARMA(1,1) Model.
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Advanced
Formal Proof of the General Stationarity Condition for an AR(p) Process (Roots of Characteristic Polynomial)
Exploring the cinematic intuition of Formal Proof of the General Stationarity Condition for an AR(p) Process (Roots of Characteristic Polynomial).
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