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中文题目
题目6024 · 统计

Persistence and the Covariance-Stationarity Verdict

A GARCH(1,1) has $\alpha=0.20$, $\beta=0.75$. Compute the persistence $\alpha+\beta$ and state whether the process is covariance-stationary (i.e. has a finite, time-invariant unconditional variance). Give the persistence as a decimal.

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题目2905 · 概率

Ehrenfest Urn Stationarity

In the Ehrenfest urn model with $N$ balls, state $i$ means exactly $i$ balls are red. Each step, choose one ball uniformly at random and flip its color. Find the stationary distribution of the chain on $\{0,1,\dots,N\}$.

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题目2902 · 概率

Laziness Does Not Change Stationarity

Suppose $\pi$ is stationary for a Markov chain with transition matrix $P$. Fix $\theta\in(0,1)$ and define a lazy version \[ P'=\theta I+(1-\theta)P. \] Show that $\pi$ is also stationary for $P'$.

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题目4324 · 机器学习

Small Data With Local Stationarity

You have limited labeled data, and the target depends on local translation-equivariant patterns in a 2D signal map. Which architecture family usually brings the strongest built-in inductive bias?

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题目1818 · 统计

Why Ergodicity Matters

Why is ergodicity stronger than stationarity, and why do practitioners care about it when they average one long signal history?

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题目1821 · 统计

AR(1) Multi-Step Forecast 1

A signal follows X_t = 0 + 0.6 X_(t-1) + e_t with Var(e_t) = 2 and current value X_t = 10. What is the h = 3 step forecast E[X_(t+3) | X_t]?

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题目2672 · 机器学习

Autocorrelation-Corrected Sample Size

A monthly feature is observed for 60 months and behaves roughly like an AR(1) series with lag-1 autocorrelation $\rho=0.6$. Using the heuristic $n_\text{eff}\approx n(1-\rho)/(1+\rho)$, what is the effective sample size?

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题目2675 · 机器学习

Break-Even Hit Rate After Trading Costs

A directional model earns +1 unit on a correct trade and -1 unit on an incorrect trade before costs. Each round trip also pays a cost of 0.08 units regardless of outcome. What hit rate $p$ makes expected net PnL zero?

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题目1856 · 统计

Horizon Risk Budget Ratio 1

A stationary mean-reverting spread obeys X_(t+1) = 1/2 X_t + epsilon_(t+1), where Var(epsilon_(t+1)) = 4. Starting from the current level, what fraction of the same-horizon random-walk forecast-error variance does the 4-step mean-reverting forecast-error variance represent?

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